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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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into consideration. We are looking for someone with a doctoral degree in computational physics, applied mathematics, computer science, bioinformatics, structural biology, or a related field. Documented experience in
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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30
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). Experience in mathematical modeling of DNA or protein evolution. Hands-on experience with model training (CNNs, transformers, …) and libraries (TensorFlow, PyTorch). Experience in software and method
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, bioinformatics, computational biology, applied mathematics, or a closely related field. This eligibility requirement must be met no later than the time the employment decision is made. Strong background in ML and
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science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required. The Selected postdoctor will be joining the Computational Microscopy for Cell Biology