66 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" scholarships at Technical University of Munich
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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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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) • Please understand that we cannot review incomplete applications Website: https://angeladai.github.io/openings.html Schwerbehinderte werden bei im Wesentlichen gleicher Eignung und Qualifikation bevorzugt
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application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM. Technical University of Munich, Institute
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. Jörg Ott
More Information https://www.in.tum.de/fileadmin/w00bws/cm/jobs/2021-04-6g-job.pdf -
: robert.wille@tum.de Web: https://iic.jku.at/eda/team/wille/ The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and
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Engineering, or a related discipline - Solid understanding of fluid dynamics and/or electromagnetism - Programming experience (preferably Python) - Interest in machine learning and scientific computing
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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