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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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profile A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications Good understanding of the 3GPP 5G radio access and/or
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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Are you interested in working at the interface of science, policy, and practice to support sustainable agricultural transitions? Join us at Aarhus University’s Department of Agroecology as a
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conducting collaborative research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop
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will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and
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interface of machine learning, genomics, and scientific computing, contributing both methodological innovation and translational impact. Close collaboration with Helical-AI will ensure that developed models