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reproducible analytical methods, data-processing workflows, and quality-assurance and quality-control procedures Support and train students, early-career researchers and visiting scientists in paleomagnetic and
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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publications; practical knowledge of SAXS, fluorescence spectroscopy, and confocal microscopy; knowledge of electrochemical methods, including electrochemical impedance spectroscopy (EIS) and quartz crystal
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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and 75,000 SEK for research expenses. The scholarships are tax-free. Application deadline September 17, 2026. Start between January and April 2027 (exact start date according to agreement). Formal
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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mentor junior laboratory members are highly valued. Requirements: Ph.D. in Biology, Biotechnology, Genetics, Biochemistry, Biophysics, or a related field. Fulfillment of formal criteria outlined in
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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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chemistry, analytical electrochemistry Purification, characterization, and analytical techniques for organic compounds: cyclic voltammetry, spectroscopic methods (NMR, UV–Vis, IR, mass spectrometry