Emmanuel Margeat

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146 Following
18 Posts

#CNRS Researcher in #Montpellier, France
Director of the #CBS Centre de Biologie Structurale. #CNRS #INSERM #Université de Montpellier

Single molecule #biophysics, #fluorescence, #FRET
Working on membrane proteins, #GPCR
Team website : https://integrativebiophysicsofmembranes.wordpress.com/

I collect photons day & night... expect some #astrophotography as well.

Check our new preprint !
Triple orthogonal labeling with 2 unnatural aminoacids + 1 SNAP-Tag for 3 color #smFRET.
We resolve a new intermediate in the activation of metabotropic glutamate receptor 2.

#GPCR #clickchemistry

https://biorxiv.org/content/10.1101/2024.10.31.621373v1

Collaboration with Jean Philippe Pin & Philippe Rondard (IGF Montpellier) & Don Lamb (LMU Munich)

Comet #Tsuchinshan_ATLAS, yesterday, next to #Montpellier, massif de la Guardiole
EOS 60D, 50mm, 8s, f3.2.
#Astrophotography
It was great to see it through the ocular, but very difficult to take a picture of it due to the wind, moisture, and the difference of brightness between the full moon and the planet. This is an HDR treatment of pictures at different exposures taken with a C8 telecope.
My capture of the occultation of Saturn by the #moon last week, as seen from #Montpellier.
#Astrophotography.
On this picture I shot on wednesday night : the #moon , a #comet (12P/Pons–Brooks), two planets (Jupiter and its satellites & Uranus). Can you spot them all ??
I am hiring !!
1 year Engineer position in optical microscopy to build a home – made RASTMIN microscope.

#superresolution #minflux #Microscopy
more info
https://integrativebiophysicsofmembranes.wordpress.com/2022/11/28/now-hiring/
Now hiring !

Several of our research projects have been recently funded by ANR & FranceBioImaging. Therefore we are now looking for two candidates, to fulfill the following positions : Postdoc position Post…

Team Integrative Biophysics of Membranes

#jerecrute

On cherche un⋅e admin sys pour aider les biologistes à partager leur images de microscopie

C'est un poste d'ingénieur d'étude à Nantes, CDD de 1 an, l'équipe est distribuée entre Bordeaux, Montpellier et Nantes.

C'est tout en logiciel libre, avec une base #OpenStack / #ansible

C'est pas bien payé, mais c'est super intéressant et pour la bonne cause de la science ouverte!

Débutant⋅e accepté⋅e, et pas besoin de cocher toutes les cases de l'offre :)

https://emploi.cnrs.fr/Offres/CDD/UAR3556-PERGIL-003/Default.aspx

Portail Emploi CNRS - Offre d'emploi - Ingénieur d'étude H/F Administrateur systèmes et réseaux pour les données d'imagerie en biologie

I was lucky enough to catch a shooting star while photographing the Big Dipper and its reflection in a small pond near a restored mill.!
#Astrophotography
Only 2 weeks left to apply for the 3 postdoctoral positions available in our team, in the fields of atomic force microscopy #AFM, single molecule fluorescence spectroscopy (#smFRET) and #DNAorigami.
More info & application here
https://integrativebiophysicsofmembranes.wordpress.com/2022/11/28/now-hiring/
Now hiring !

Several of our research projects have been recently funded by ANR & FranceBioImaging. Therefore we are now looking for two candidates, to fulfill the following positions : Postdoc position Post…

Team Integrative Biophysics of Membranes
Mastodon friends! I will probably post this over on twitter next week, but you're special people and get a sneak peek :) We're hiring a bioimage analyst in my team! This is a "junior" position best suited for someone who knows an image analysis tool or two, can code to a novice/intermediate level, and wants to learn a lot. Remote work (in the US) possible depending on circumstances. Please share widely! https://thejacksonlaboratory.wd1.myworkdayjobs.com/External_JAX/job/Farmington-Connecticut/Systems-Analyst-I_JR002913
Systems Analyst I

Bar Harbor: The Jackson Laboratory's 43-acre scenic Bar Harbor campus is nestled between the Gulf of Maine and the mountains of Acadia National Park. Some of the best hiking and biking in the world (over 50 square miles of mountains, lakes, views, and dramatic coastline) is accessible from our campus. We are one mile from downtown Bar Harbor, which offers a vibrant downtown district with a plethora of restaurants, shops, museums, and galleries. Ellsworth: The Charles E. Hewett Center in Ellsworth, Maine, is a state-of-the-art facility that serves researchers world wide. The facility represents the culmination of nine decades of unmatched experience and leadership in breeding and caring for laboratory mice. Ellsworth, Maine, is one of Maine’s fastest growing cities. With a growth rate of nearly 20%, Ellsworth is a bustling year-round community and acts as a hub for surrounding towns. It is located nearby Acadia National Park and hosts numerous special events, concerts and festivals each year. Residents have access to fabulous shopping, recreation, museums, galleries, and dining at a variety of independent restaurants. Farmington: JAX Genomic Medicine is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX Genomic Medicine’s research focuses on the complex genetic causes of disease and on the development of genomic solutions tailored to each person's unique genetic makeup. JAX Genomic Medicine sits on a 17-acre site on the campus of the University of Connecticut Health Center. The 183,500-square-foot facility opened in the fall of 2014. Now, it houses over 300 biomedical researchers, technicians, and support staff in state-of-the-art computing facilities and laboratories. In Connecticut, JAX resides in the scenic town of Farmington, in the state’s capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns. JAX Genomic Medicine is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems, including bus lines, highways, railroads and international airports. Sacramento: The JAX® Mice, Clinical and Research Services facility is located in Sacramento, the state capital of California. Sacramento is less than a two-hour drive from San Francisco, Napa Valley, and scenic Lake Tahoe, and a short flight to both Los Angeles and Orange County. Sacramento is the birthplace of the nation’s Farm to Fork movement, and offers excellent restaurants, gastro-pubs, wineries, theaters, and museums. Outdoor activities are plentiful: Boating, white water rafting, and riding the scenic bicycle trails are popular. Housing and other costs of living are more affordable in Sacramento and its surrounding suburbs than in most other neighboring areas in the North Bay, making Sacramento one of the hottest housing markets in the country year after year. Augusta: JAX’s Maine Cancer Genomics Initiative (MCGI) is located in Augusta, Maine, in the Harold Alfond Center for Cancer Care (HACCC), at Maine General Hospital. It began operations in 2016 with three overarching goals: to provide cancer genomic testing for Maine cancer patients; to develop and deliver physician education about clinical genomic cancer diagnostics; and to build a network in Maine of oncology practices conducting studies in genomic medicine. Summary Are you a scientist with skills in bioimage analysis who is looking for a nontraditional research career? Are you excited by the opportunity to provide computational resources and support to world-class faculty, who perform leading-edge research in the fields of human genomics and mouse genetics? Come join us in Research IT at The Jackson Laboratory (http://www.jax.org), an independent, nonprofit biomedical research institution internationally recognized for its research excellence. At JAX, our Information Technology is as exciting and progressive as our cutting-edge science. In Research IT, you will help to plan, design, and launch efficient systems for bioimage analysis in support of scientific research. The ideal candidate will have a deep understanding of scientific image data analysis and processing. Preference will be given to candidates with hands-on experience in automated image analysis pipelines, High-Performance Computing (HPC) environments, laboratory information systems, and working collaboratively with researchers and Information Technology. The option to work remotely may be considered for this role on a case-by-case basis. Responsibilities Research and evaluate new tools for applicability to in-house needs. Stay current with new trends and emerging information technologies and informatics tools; advocate for and lead the adoption of these technologies at JAX. Develop appropriate computational strategies to acquire, store, process, and analyze imaging data. Develop and deliver training programs, tutorials, and workshops for scientists on the optimal use of IT resources in their image analysis projects. Assist in preparation for submitting grant proposals. Investigate application issues and document findings. Communicate with scientists to answer questions and troubleshoot problems; provide guidance, support, and advice on Research IT systems. Based on the scientific needs of faculty and research staff, identify and recommend innovative solutions and integrated proposals for server, storage, and network systems; including hardware and software acquisition, installation and administration. Install and update scientific applications in the Research IT environment, including but not limited to relevant HPC clusters. Provide technical support internally and to external vendors, including problem resolution for complex systems and storage solutions. Benchmark application and workflow performance and determine areas for improved efficiencies. Qualifications Level I Bachelor's degree with a minimum of five (5) years of experience, Master's degree with a minimum of three (3) years of experience, or a Ph.D. with zero (0) to two (2) years of experience, in a relevant area of data analysis or management is required Level II Bachelor's degree with a minimum of seven (7) years of experience, Master’s degree with a minimum of five (5) years of experience, or Ph.D. with a minimum of three (3) years of experience, in a relevant area of data analysis or management is required All Levels A background in (or familiarity with) biology and/or microscopy is preferred. Proficient in tool-agnostic image analysis and general-purpose programming Experience with Scikit-image, ImageJ/Fiji, CellProfiler, QuPath, OpenCV or other relevant image analysis tools. Familiar with Cloud computing, Machine Learning, and Artificial Intelligence. Experience with engaging with scientists and open-source communities and operating in a highly interdisciplinary environment Experience with OMERO and/or other storage of large multidimensional arrays (e.g., zarr, N5, HDF5) is preferred. Experience with software development best practices (e.g., git, CI/CD, documentation) is preferred. Experience with medical imaging (e.g., DICOM, MRI, CT), remote sensing, or satellite imaging is not necessary but will be considered a strength #LI-hybrid About JAX: The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine! EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.