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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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programs in parallel. Please check this page for additional information. Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL. Potential doctoral
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Diplomas Transcripts/grades from Bachelor’s and Master’s studies If you are successful, you will need to enrol in one of the EPFL doctoral school programs in parallel. Please check this page for
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profile Excellent Master's degree in Computer Science, Software Engineering, or a closely related field. Strong interest in research in one or more of the areas of software engineering, programming
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independently manage your time to meet deadlines You enjoy hands-on work and prototyping with real-world devices and sensors You have a good knowledge of programming languages C/C++ and Python Desirable
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security; prior research experience in these areas is an advantage. Strong programming skills. Excellent written and verbal communication skills in English.
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quantitative and methodological questions in marketing and technology/AI Strong programming skills in R or Python; experience with large-scale or field data is a plus A high level of personal initiative and
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programming languages and frameworks such as Python, PyTorch, or TensorFlow is an advantage Fulfillment of the formal admission requirements for doctoral studies at the University of St. Gallen
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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer
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radio-frequency experiments, superconductivity, or layered materials, as well as Python programming (or similar) is a plus. Most importantly, an applicant should be driven by curiosity and should be