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Field
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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sciences and non-university research institutes in Germany. Who can apply? Highly qualified Chinese scientists and researchers in the fields of natural sciences, mathematics, engineering, agriculture and
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and translation to practice in new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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of science and work with supervisors and colleagues that are among the best in the world? The ISTA-Fellow program at the Institute of Science and Technology Austria offers fully funded (two-year) postdoctoral
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STEM College The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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the supervisor Qualifications A recent PhD in Mechanical Engineering or a related field, focusing on Thermofluids Experience in Numerical Simulation (Finite Element Analysis and/or Computational Fluid Dynamics
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computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in signal processing, bioinformatics, simulation
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in