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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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: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven
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, volumetric analysis, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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, image reconstruction, and data-driven modeling of biological systems. The Division carries out research and postgraduate education within computational imaging, applied mathematics, and structural biology
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annotation, integration, and modelling application of statistical and mathematical modelling approaches to understand and predict immune cell fate decisions identify transcription factor combinations
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
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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