57 parallel-computing-numerical-methods PhD scholarships at Technical University of Munich in Germany
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: Completed master studies in the field of environmental sciences, forestry, landscape ecology, remote sensing or related fields Interested in remote sensing, quantitative methods and programming Prior
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epidemiology. This collaborative environment fosters innovation and skill development, providing hands-on training in organoid culture, pollutant exposure methods, and data analysis. Additionally, through a
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based
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university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can
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techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. The corresponding reaction mechanisms
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cells or electrolyzers. Utilizing innovative, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and