63 parallel-processing-bioinformatics Postdoctoral positions at Technical University of Munich in Germany
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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via email to applications@mirmi.tum.de quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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data collection and survey platforms (e.g., Qualtrics) is highly valued. Selection Process Application Submission: Applications must be submitted by 23 November 2025. Selection Criteria: Candidates will
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of Excellence. Support strategic and administrative coordination processes within Focus Area 1. Requirements Excellent doctoral degree in management with a focus on innovation, entrepreneurship, sustainability
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of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We
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subscriptions Access to advanced training opportunities for professional development Application process We look forward to receiving your application documents (one-page letter outlining your motivation and
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these emergent processes and is looking for a PhD student / PostDoc (f/m/d) The Mission Understanding how multicellular systems organize themselves into tissues is a central challenge in modern biology and
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work