RT @lmr_1994
3D cell culture, organoids and parasitology infection models - a cool project with a great supervisor!
Check out the PhD advert below!
@RMS_EarlyCareer @BioImagingUK https://twitter.com/sdw24/status/1654033546544128001
RT @lmr_1994
3D cell culture, organoids and parasitology infection models - a cool project with a great supervisor!
Check out the PhD advert below!
@RMS_EarlyCareer @BioImagingUK https://twitter.com/sdw24/status/1654033546544128001
Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. Position Summary We are looking for a software engineer with expertise in mathematics to work in the Scientific Computing Department on exciting projects that involve large data volume electron microscopy reconstruction and analysis. You will work with laboratories and team projects at HHMI Janelia to develop scalable software for imaging data produced at Janelia. Initially, the focus of the position will be streamlining and expanding existing tools for the alignment of multi-terabyte-sized electron microscopy acquisitions produced by the FIB-SEM (Focused Ion Beam Scanning Electron Microscopy) core at HHMI Janelia. This includes development of Java code for distributed non-rigid image alignment, quality control, and workflow optimization using established open-source libraries ImgLib2, BigDataViewer, N5, and Spark. The candidate will have the opportunity to contribute to efforts for robustly aligning peta-scale MultiSEM datasets currently produced by the Hess lab. Based on these experiences you will have opportunities to take on new interesting projects with different teams and/or labs at HHMI Janelia that will also provide the opportunity for professional development, for example in the domain of machine learning. HHMI Janelia recently started its new research direction “4D Cellular Physiology”, which will produce plenty of exciting computational challenges and opportunities. The Scientific Computing Software department at HHMI Janelia is an exciting environment where you will have the opportunity to collaborate with excellent software engineers and scientists and have access to the latest and most exciting data and computational resources. Education: Ph.D. or M.S. in Computer Science or related field Experience: Experience with writing efficient code with Java or other JVM based languages Experience with mathematics, specifically linear algebra Ideally experience with libraries such as Spark, ImgLib2, N5, BigDataViewer Familiarity with Python, other programming languages Ideally, you have a record contributing to open-source projects, so we can discuss code If you do not meet all of the above criteria but you are convinced that you can compensate this with enthusiasm, creativity, and practical experience, reach out to us and let's talk. For more information on Scientific Computing at HHMI Janelia, visit here or email People & Culture at (email) or Stephan Preibisch at [email protected] directly. Compensation Range Software Engineer III: $113,190.00 (minimum) - $141,400.00 (midpoint) - $183,810.00 (maximum) Software Engineer IV: $131,818.40 (minimum) - $164,773.00 (midpoint) - $214,204.90 (maximum) Pay Type: Annual HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal equity when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range. Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. HHMI is an Equal Opportunity Employer Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. Why HHMI To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations. At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work. What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page. A Note for Job Seekers Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site. There, you will learn more about HHMI and can find information about our available roles. Contact us at [email protected] if you require an accommodation related to completing the job application. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
RT @BioimagingNA
One week until @ArmstrongFlyLab's talk for the BINA Scientific Speaker Series on "Inter-organ communication: uncovering molecular mechanisms that mediate adipose tissue control of oogenesis" 🪰
Register to join us May 9
https://www.bioimagingnorthamerica.org/events/bina-speaker-series-registration/
Details:
https://www.bioimagingnorthamerica.org/scientific-speaker-series-2023/?image=alissa-armstrong-may-9
RT @cziscience
This is an optical map of a heart’s surface, made using voltage sensitive dyes.
Narine Sarvazyan is #ImagingTheFuture by working to better understand the mechanisms of cardiac arrhythmias
RT @RogerDAntuono
Registration for The 5th NEUBIAS Conference (Porto, 8-12 May 2023) open until 3 May.
Don't miss the opportunity to meet the @NEUBIAS_ international #bioimage analysis community!
Defragmentation TS2 (8-12 May)
NEUBIAS Symposium (11-12 May)
https://eubias.org/NEUBIAS/neubias2020-conference/portugal-2023/
@ALM_i3S
“Congratulations to @LMB_PhD student @AkaashKumarBME (working with @DeriveryLab and @JamesDManton) who has been awarded a PhD Student award from the Cambridge Society for the Application of Research! Read more about Akaash and his research here: https://t.co/QUdkfqhq9R #LMBNews”
RT @VolumeEM1
Introducing two new #volumeEM Focused interest groups (FIGs)!
Correlative Multimodal vEM: Electrons, X-rays, and Neutrons
#xrayvEM
🌐 https://www.volumeem.org/x-ray-vem-fig.html#/
Array Tomography
#arraytomography #ATSEM
🌐https://www.volumeem.org/at-fig.html#/
and #AT slack discussion channel @EMofCTO 🙂