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should hold a M.Sc. in chemistry, physics, material sciences or related disciplines. To join our interdisciplinary team, we are looking for creative, enthusiastic students with a solid scientific track
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eye tracking, we will study how people coordinate and interact within these settings. The project is carried out in collaboration with partners at RWTH Aachen University and the University of Rennes
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | about 1 month ago
for the fast-track option. Your application Are you interested? We invite highly motivated students with strong commitment to basic science from all over the world to apply to our international program centered
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the University of Konstanz, this doctoral programme provides the possibility to enrol via the "Konstanz Fast Track" system. Language requirements Applicants must provide proof of their proficiency in English
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, psychophysiological measurements (e.g., EMG), eye-tracking and devices for the presenta-tion of visual, olfactory and auditory stimuli •Working environment at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU
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-established and highly visible track record of the laboratory in the analysis of plant growth processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant
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awarded by the university to which the supervisor of the respective student is affiliated. MPSCog also offers a parallel track, the fully funded Clinician Scientist Program (CSP), targeting medical
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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. Students can enter with a Bachelor’s (fast track) or a Master’s degree. Application deadline The application opens in September and the deadline is 1 December every year. Tuition fees per semester in EUR
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knowledge in Machine/Deep Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming