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Field
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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geospatial data, supporting research on climate, biodiversity, and water systems. We’re looking for candidates with a PhD and a strong background in AI/data science, interested in interdisciplinary and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
biomedical imaging applications Your profile Master’s degree or PhD in Physics, Optical Engineering, Photonics, Quantum Engineering, Biomedical Engineering, or a closely related field, with a focus on quantum
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
. Project Description The successful candidate will work on the development of a Gaussian Process regression framework on graphs and its integration into: the Numerical Information Field Theory (NIFTy
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Technology Hub staffed with dedicated personnel for technical support, ensuring proficient operation. BioSysteM at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop
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/Cas9, tissue engineering, scRNA-seq, proteomics, process automation etc. We offer an extremely international, well-equipped and productive work environment. Funded by an international research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
physiological assays across, we aim to elucidate the fundamental processes underlying the evolutionary success and ongoing ecological collapse of photosymbioses. To achieve this, PhagoPhoRe builds on a large
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primarily from a psychological and pedagogical perspective. It is characterized by the individual perspective on educational processes, which focuses on the experience and behavior of the individual embedded
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for 3D bioprinting. Active participation in the research activities of the research groups. Provide expert feedback and mentoring to MSc and PhD students. Present your research findings both internally and
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in