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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in
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Munich in Germany invites applications for a PhD position (m/f/d) on hybrid-variable quantum microwave communication. The Walther-Meißner-Institut (WMI, www.wmi.badw.de) of the Bavarian Academy of Sciences
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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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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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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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of TUM. Kontakt: TUM School of Life Sciences, Functional Materials of Food Pagaging, application.fmp@ls.tum.de More Information PhD PhD in Stimuli-Responsive Elastomers, (Type: application/pdf, Size: 166.9
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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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. PhD Position (m/f/d) Biotechnological production of dyes using recombinant producer strains The current position will be part of the Fungal Biotechnology in Wood Science professorship (Prof. Dr. J
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data analysis using any of R, Stata, or Python. Doing a PhD in our team will involve travel and research stays in study sites abroad (likely India and Rwanda). An ideal candidate should be excited about
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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