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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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working across plant biology, including molecular biology, genomics and bioinformatics. UPSC provides advanced infrastructure for sequencing, single-cell technologies and experimental plant research, as
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postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Others For information about processing of personal data in
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior