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Field
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively
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learning approaches and a pronounced interdisciplinary orientation. We actively pursue scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research, and work
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of the development of peace education and the learning of constructive conflict resolution skills in higher education internationally. This will include identifying and systematically analyzing university curricula
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, materials, and synthetic cells with embodied intelligence – chemical and physical – to endow them with the capacity to compute, adapt, learn, or make simple decisions. We are highly international and
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) to learn about modelling, resilience and RD metrics, starting at M21 The successful candidate will join an interdisciplinary cohort of doctoral researchers and benefit from ReDiLEEP training in response
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Synthetic Cells as Minimalistic Life Forms," Nature Reviews Chemistry 8, 454 (2024). R. Merindol, A. Walther, "Materials Learning from Life: Concepts for Active, Adaptive and Autonomous Molecular Systems
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https
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visits abroad. This international exposure enriches perspectives and fosters cross-cultural learning, ultimately enhancing the quality of research outcomes. BIGS-LF does not offer PhD positions. You need
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data