233 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" PhD positions in Germany
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2 Jan 2026 Job Information Organisation/Company Technische Universität Ilmenau (Germany) Department Department of Physics in the group Theorectical Physics II Research Field Engineering » Other
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 7 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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Description The Department of Ecology at the School of Biology/ Chemistry is seeking to appoint a Research Assistant (m/f/d) (salary grade E 13 TV-L, 65 %) to commence at the earliest possible date
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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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doctoral programme in Health Data Sciences for outstanding junior researchers is to provide a structured framework of studies, research, and teaching for promising scientists in the disciplines of Health
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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experience by assisting in laboratory courses for biology and biochemistry students at the Bachelor's or Master's level. Special promotion / funding of the programme IMPRS Course-specific, integrated
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candidates to apply in stage one or stage two to have sufficient time for visa applications and other arrangements. Additionally, all financial aid for PhD programme students may be awarded during the first or
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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StreetLansstraße 7-9Zipcode14195CityBerlin Contact details Tel:+49-30-838-52868 E-Mail: office at gsnas.fu-berlin.de Web: https://www.jfki.fu-berlin.de/en/graduateschool/index.html Legal notice: The information