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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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For further information, please contact Dr Franziska Glassmeier (available from June 1, 2025). Please do not forward your application to this email address. The application documents should include a cover
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
, and nationality. Your application and further information Your application is written in either English or German and contains the following documents: cover letter including your research interests and
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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consideration. Contact Dagmar Kainmueller Integrative Imaging Data Sciences Please use our online portal and submit your application including a cover letter, CV (without photo, age and information about your
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
states of Germany (TV-L) Contact and Application For further information, please contact Prof. Dr. Ulrike Cress via phone: +49 7071 / 979-209 or by email: u.cress@iwm-tuebingen.de. Please send your
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on the collective agreement for the public service in the federal states of Germany (TV-L) Contact and Application For further information, please contact Prof. Dr. Ulrike Cress via phone: +49 7071 / 979-209 or by
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data