60 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "I.E" PhD positions at Technical University of Munich
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of records no later than 30th of April 2021 to Ingo Glaser (ingo.glaser@tum.de ). You can find further information here: https://wwwmatthes.in.tum.de/pages/qyey9hn4lw80/Open-PhD-Position-in-the-Area-of-Natural
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. Jörg Ott
More Information https://www.in.tum.de/fileadmin/w00bws/cm/jobs/2021-04-6g-job.pdf -
master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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must have the following: • Master’s degree in physics or optics. • Excellent track of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming skills in
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of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Strong programming skills in MATLAB / Phyton • Team player skills and enthusiasm to work in a multi
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or generic submissions. The position is open until filled. We plan to fill the position as soon as possible, and review of applications starting mid-February. The position is suitable for disabled persons
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* Your CV * Transcripts of grades We value thoughtful applications over formality, but will not consider incomplete or generic submissions. The position is open until filled. We plan to fill the position
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation