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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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, complex geometry, arithmetic geometry, algebraic number theory, global analysis, algebraic topology. We have a large group of PhD students, postdocs and visitors here at Essen, and have many joint
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of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
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link various actors within the complex area of climate change. The successful candidate will be working in different case study in Europe under the frame of the EU Project NBS4Droughts. The primary goal
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22.10.2020, Wissenschaftliches Personal PhD and PostDoc Positions in Visual Computing & Artificial Intelligence: we are looking for highly-motivated PhD students and PostDocs at the intersection
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using X-ray and neutron scattering for structure and dynamics of these systems. The main research areas are novel photovoltaic materials, proteins in solutions, and complex nano-structured materials
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software