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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social benefits in
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for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron scattering data! You will be working in a
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, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
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. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves
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) via e-mail and as a single PDF file to: ausschreibung10-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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company free assistance program for employees (EAP) Corporate benefits a varied offer in the canteen on campus Severely disabled persons and those equaling severely disabled persons who are equally suitable