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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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, as well you know how to work with a computer You work as a team player to solve problems analytically and work out solutions You are willing to learn something new every day and are willing to participate
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to the road? Then this position is just right for you! About us In the Autonomous Vehicle Lab, we develop the vehicle of the future with intelligent algorithms and methods. We are involved in numerous projects
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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The History Department of Freie Universität Berlin is home to a broad variety of research projects and scholarly initiatives in the field of global history (among them, the MA program Global History
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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
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an interdisciplinary framework as part of a joint research program. What will be your tasks? We are seeking a highly motivated candidate to join the newly established Collaborative Research Centre “Carbon Sequestration
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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Doctoral Students International Max Planck Research Schools Max Planck Graduate Center Max Planck Schools Postdocs Career Steps Max Planck Postdoc Program Max Planck-Weizmann Postdoctoral Programme Research