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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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they help orchestrate the production and learning of dexterous movements. By gaining a better understanding of these fundamental mechanisms, our ultimate goal is to develop new therapeutic treatments
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learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
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learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 6 hours ago
offers a Postdoctoral and a PhD position. The Department of Interface Science headed by Prof. Beatriz Roldan Cuenya at the Fritz-Haber-Institute carries out cutting-edge research on advanced functional
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Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and enthusiastic
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The Machine Learning section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering a 2 and a half year fully-funded postdoctoral position
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing