308 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Germany
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- Max Planck Institute for Plant Breeding Research, Cologne
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- Technische Universität Berlin
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- 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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and modern data-analysis workflows Experience with unsupervised learning, clustering, and integrative analysis Ability to translate computational findings into meaningful biological and translational
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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.: CAR-T, Virotherapy, BiTEs). We aim to use small DNA molecules to cleave target sequences and thereby improve anti tumor immunity. Experience in immunology, tumor biology, molecular biology, and delivery
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advantageous Good communication and information behaviour, goal-oriented and structured way of working Ability to work in a team and willingness to cooperate, willingness to learn We offer: Attractive and modern
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stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning and provide
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
asset and reflects the collaborative spirit we foster in our group Our offer We offer an inclusive and supportive work environment for talented and motivated individuals who are eager to learn and grow
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our