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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
, reliable, and able to work both independently and as part of an international team. Curious, motivated, and enthusiastic about learning new techniques. Our offer The opportunity to contribute to cutting-edge
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
data analysis and statistical methods # Interest in or initial experience with data-driven methods or machine learning is an advantage # Strong communication skills and a collaborative approach to
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 5 hours ago
of the material’s crystal grid. Publish your research findings at major machine learning conferences such as Neurips, ICML, ICLR, and in high impact journals. Collaborate with other members of the research group and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
methods or machine learning is an advantage # Strong communication skills and a collaborative approach to working with internal and external partners # Independent, structured and solution-oriented way
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and presenting at conferences Experience with obtaining external grant funding Passion for collaborative research in neuroscience Ability to work independently, strong organizational skills, high level
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Willingness to learn and interested in interdisciplinary, applied research Our Benefits Attractive and modern working environment with excellent infrastructure and state-of-the-art scientific equipment
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responsibilities, a special commitment is required to collaborate with partners in academic nursing education, as well as to design, to implement, and to develop state examinations in the Clinical Nursing degree
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as line supervisor for faculty members across multiple academic disciplines, leading and mentoring a diverse faculty body while supporting professional development and interdisciplinary collaboration