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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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! Education: PhD degree on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Required experience and skills
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decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding of the rules
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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needsExplore and pursue opportunities to apply for individual research funding For further information, please contact Prof. Daniel Abankwa (). Your profile PhD degree in developmental-/ cell biology
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participate in on-site meetings with partners in Switzerland For any questions, please contact Marten Düring (). Your profile Proven research experience in contemporary (media) history using digital methods PhD