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. To strengthen our research groups Food Biopolymer Chemistry and Mechanoreceptors we are currently looking for a committed PhD Student to start as soon as possible. The position is part-time (TV-L 13, 65%) and
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-performance analytical technologies to study disease mechanisms in experimental models of CNS disorders. Project The PhD candidate will investigate the cell type-specific role of Bruton’s tyrosine kinase (BTK
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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. The research group Molecular Modeling / Section III are currently looking for a committed PhD Student to start on 15/01/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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15.09.2025, Wissenschaftliches Personal The Chair of Marketing Analytics, which is part of the Heilbronn Data Science Center and the TUM School of Management at the TUM Campus Heilbronn, is seeking
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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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research group Metabolic Function & Biosignals (Section II) is currently looking for a committed PhD Student to start as soon as possible. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology