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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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(e.g. the development program “Fraunhofer TALENTA” for female scientists) Family-friendly conditions (flexible working hours, home-office regulations in line with the requirements of the position, etc
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Programme? Not funded by a EU programme Reference Number LIN2025/09 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hippocampal Plasticity and Memory group
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC2 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 6 hours ago
offer Job with a fixed-term employment contract for three years in the public sector Salary Class 100% E13 Structured and established staff development program Versatile and varied activities in a
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning