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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep
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Deadline 8 Apr 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 11 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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degree in mathematics or a related discipline Knowledge of solid mechanics, partial differential equations, asymptotic methods, numerical methods, and/or homogenisation are strongly desired Capacity and
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and rewarding project as part of a friendly and supportive team. Applicants with
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please re-submit your application for each
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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please resubmit your application for each
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc (f
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assays using various approaches of computational biology. The data-driven approaches are further complemented through molecular biology methods such as gain- or loss-of function assays. Your tasks