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collaboration with the Danish Cancer Institute in Copenhagen, and you will have the opportunity to undertake a research stay in Copenhagen. You will be part of a cross-disciplinary team of cell biologists and
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machine learning. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in
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reaction kinetics to film formation and sealing performance, including controls against benign environmental changes and chemical interferents. Collaborate closely with the computational PhD and consortium
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to the award of a PhD degree. Undertake innovative and rigorous research on causal machine learning. Disseminate research outcomes through scholarly publications and public engagement activities. Collaborate
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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, including a mixture of classical and quantum mechanics simulations, cheminformatics and machine learning, as well as collaborative software development, providing expertise for a broad range of future careers
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
collaborative research project between Inria in France and DFKI in Germany. The project aims to advance AI-based translation technologies for French Sign Language (LSF) and German Sign Language (DGS), covering
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for career development, continued education and life-long learning. A dynamic, supportive, and highly collaborative working environment. Life in Munich Located at the foothills of the Alps, Munich is
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covered by the project. The candidate is expected to collaborate with maritime stakeholders and apply the research to relevant industrial or operational cases. The candidate will join a research environment