48 computational-physics-"https:"-"https:"-"https:"-"https:"-"Ulster-University" Postdoctoral positions in Sweden
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The Division of Atomic Physics at the Department of Physics, Lund University, has a
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researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses, research visits, and
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in collaboration with other researchers in the Distributed Intelligent Systems and Communications (DISCO) group at the Department of Mathematics and Computer Science. DISCO is a leading
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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Ref no: ORU 2.1.1-01454/2026 We are looking for a postdoctoral researcher in Computer Science for a fixed-term position at the School of Science and Technology. Subject area The subject area for
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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14 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be