317 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" research jobs in Germany
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- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Demographic Research, Rostock
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- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Plant Breeding Research, Cologne
- Max Planck Institute for Solar System Research, Göttingen
- Max Planck Institute for the Study of Societies, Cologne
- Max-Planck-Institut für Physik
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- TH Köln - University of Applied Sciences
- Technische Universität Berlin
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- University of Bonn
- University of Duisburg-Essen
- University of Jena - Cluster of Excellence "Balance of the Microverse"
- University of Oldenburg
- University of Potsdam, Faculty of Science
- Universitätsklinikum Hamburg-Eppendorf
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Field
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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analysis expertise. It would be great if you can bring some basic project management experience to the table. Perhaps you even have some knowledge of machine learning, artificial intelligence, or wind energy
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs excited to use vector databases, e.g. integrating deepset haystack for RAG interested in experimenting with solr, postgres