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Field
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Postdoctoral position in medicinal chemistry is available in the laboratory of Prof. Tomasz Cierpicki, University of Michigan, Ann Arbor, to synthesize small molecule inhibitors for targeted
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, relevant experience, and fit for the position (2) an up-to-date C.V. including full publication list (3) Contact information for 3 references (4) 1–2 page research proposal on how you would integrate AI
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, clinical, and longitudinal follow-up data, including statistical modelling and survival analysis. Process, curate, quality-check, and analyse DICOM imaging datasets across modalities including DBT
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extracellular vesicles and rodent models. Successful applicants are expected to work independently and be self-motivated, have excellent interpersonal and communication skills. This position is grant-funded
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related discipline. A PhD in one of these fields and proven experience in programming for data analysis are required. Previous experience in neurophysiological data analysis (scalp EEG, intracranial
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Engineering. Supporting a PhD student in developing an in silico model for modeling deformable valve leaflets based on a combination of in vitro data. Participation in the creation of publications
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-Millan to contribute to the Carl Zeiss Stiftung grant: "Coupled renormalised integrals for snow and proteins". This position offers an exciting opportunity to develop a mathematical framework to study
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clinical scenarios. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have
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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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. For the Working Group “Ecosystems in Transition” in RD1 at PIK, we are offering a Postdoctoral position (m/f/d) (Position number: 14-2026 Postdoc ARTECO) in the field of ecological modelling of complex arctic