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neuroimaging data (EEG, fNIRS, fMRI) to calibrate and validate models, enhancing the interpretation of neural and vascular dynamics. collaborating with international partners and contributing to simulation and
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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to perform independent molecular modelling. Proficiency in Polish (for foreign candidates at C2 level – certificate required) – mandatory. English language proficiency sufficient to read and comprehend
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School of Engineering Sciences at KTH Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by
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molecules and biopharmaceutical design. Quantum Computing in Pharmacology: Using quantum mechanics and quantum computing to model complex molecular interactions and simulate biological systems with
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, molecular dynamics) to investigate physical properties and phenomena in nanomaterials. Analyze and interpret computational results; prepare high-quality manuscripts and research reports. Present research
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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into hydrocarbons. You have proven expertise in modeling reaction and diffusion processes in nanoporous materials. You have proven expertise in ab initio molecular dynamics simulations of chemical reactions in