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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager to investigate how the impact of environmental stressors on ecosystems is related to the size of organisms...
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
to bridge between physics, engineering, and mathematics Ability to communicate work in written and presentation form Ability to manage and organise projects with realistic time planning Ability
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 17 hours ago
/computer science and information systems, computer science/computer science and information systems, and B.S. in mathematics/M.S. in mathematics. To implement its academic programs, the college provides instruction
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of engineering, physical sciences, and mathematics. Pay and Benefits Pay Range: $61,008 - $65,000; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website
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leave of absence. The research tasks require a strong mathematical background with proven experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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biolog , Mathematical Modeling , Microbiology , Neurobiology , Neuroscience , Systems biology , virology Ecology / Population Biology , Quantitative Ecology Physics / Biology , Biological Physics
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Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion
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mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental