3,150 data-science-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions
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work in computer science, algebra, real algebraic geometry, topology or differential geometry, topological data analysis or machine learning. Keywords: algebra Lie Theory Algebra and Geometry
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artificial intelligence, data science, medicine and biology, including ethical, regulatory and data-privacy issues. Inria Junior Professor Chairs are fixed-term contracts of three to six years
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collaboration with energy system modelers Your Profile Completed master's degree in a STEM field; a degree in computer science, data science, or an AI-related discipline is preferred Strong interest in
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honours preferred), MSc or equivalent in Mechanical, Electrical Engineering, Control Engineering, Aerospace or Computer Science. Good mathematical background and experience with Matlab/Simulink, C
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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and operations research and core topics in machine learning and computer science relevant for a PhD in Data and Decision Sciences. These courses are mainly taught by BI faculty. The candidates can
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candidate must also possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis
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, systems engineering, computer science, applied AI, data science, applied mathematics, industrial digitalisation, engineering simulation, optimisation, or another relevant field. Strong written and
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, computer science or other related fields) Good programming skills in R and/or Python ; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing
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="https://www.dkfz.de/en/?mtm_campaign=phd&mtm_kwd=pdg">German Cancer Research Center (DKFZ) with its core site in Heidelberg invites international students that either already hold or will soon