231 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions in Germany
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- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 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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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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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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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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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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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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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science