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13 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Department of Materials Science Research Field Engineering » Materials engineering Researcher
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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2026_W04_L as a single pdf-file before April 30th , 2026 via e-mail to jobs(at)dife.de . For further information please do not hesitate to contact: PD Dr. Heike Vogel Deputy head of the department Experimental
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
) package, and the broader MW-Atlas computational infrastructure The goal is to enable scalable, information-theoretically consistent inference of Galactic structure from heterogeneous and large-scale
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 6 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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biomechanical data during mammalian gastrulation. This position is part of an ambitious interdisciplinary project in collaboration with Professor Shankar Srinivas (University of Oxford) and will be based in Dr
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focus on neutron spectroscopy as main analysis technique, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments at large scale facilities as
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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storage at solid-liquid interfaces (i.e., catalyst-molecule) using advanced analytic methodologies (including large-scale research facilities). The current project deals with establishing operando analytic
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E 13. About the project: The MountAInWater project aims to produce a global mountain reanalysis product combining information from observation sites and high-resolution land surface models based