251 parallel-computing-"https:"-"Simons-Foundation"-"UCL" Postdoctoral positions in Denmark
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret
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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
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for sustainability, energy, and health. Our research efforts in advanced materials integrate novel synthesis and characterization techniques with state-of-the-art multi-scale modelling and scientific computing methods
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Job Description The Micro medical devices and hardware hacking-based technology (MIDAS) group at DTU Health Tech is seeking a talented and highly motivated postdoctoral researcher to join our groundbreaking ATHENA project (Artificial Intelligence Towards Holistic Evaluation of Skin Nanotexture...
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setups (cryostats, superconducting detectors). Experience in cleanroom nanofabrication workflows, especially e‑beam lithography or dry etching. Knowledge of quantum information science or hybrid quantum
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PhD degree in medicine, epidemiology, data science, complexity science, computational science, social science or other related sciences You have some experience with research related to health issues