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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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Description At the Faculty of Chemistry and Food Chemistry, the Chair of Theoretical Chemistry offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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state of Rhineland-Palatinate. Our research focuses on the biology of the cell nucleus and ranges from the molecular level to systems and computational approaches. Researchers at IMB are supported by
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Building. You will join the Research Unit for Molecular Pharmacology, led by Prof. Timo Müller. The group's research is dedicated to the development of innovative pharmacotherapies aimed at safely and
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Signalling explores the molecular dialogue between plants and microbes, with a focus on early root signalling events that enable symbiotic partnerships. Join a dynamic, interdisciplinary team where molecular
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Signalling explores the molecular dialogue between plants and microbes, with a focus on early root signalling events that enable symbiotic partnerships. Join a dynamic, interdisciplinary team where molecular
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angiogenesis and stress. We are seeking for 2 PhD students (m,f,x) (E13 TV-G-U 65%) for two projects with a focus on “Epigenetic nuclear regulation by lipids and non-coding RNAs” Life Science, Biochemistry
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and