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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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willingness to learn to perform new techniques. Preferred Experience with mammalian tissue processing (dissections, cryopreservation, sectioning, imaging, etc.). Experience with 2D mammalian cell culture and/or
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derived oxygen and water vapor) as a model for cell fate, cell polarity and flexible, adaptive development. We use a variety of genetic, genomic, imaging and modeling techniques to investigate tissue
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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internal physiological states. More information about the lab’s work can be found by visiting https://www.rockefeller.edu/research/2355-vosshall-laboratory/ About the Research Technician role: Under
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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on the lab’s website: https://www.janelia.org/lab/vale-lab . About the role: Our lab is seeking an experienced Research Specialist to support Dr. Vale and his research staff. You will provide infrastructure
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they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray