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. Experience and expertise in human mobility simulation and prediction with agent-based modeling and deep learning techniques. Proficient in Python programming for geospatial data processing, modeling, and
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or computational protein design, including modern methods for protein structure prediction, sequence design, or generative protein design. Experience with experimental production and characterization of designed
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candidate will work directly with experimentalists to develop rigorous theoretical and computational frameworks for interpreting experimental results and generating testable predictions. Second, they will
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producing well-structured, user-friendly, reproducible research code (e.g., packages, documented pipelines, open-source contributions, or similar). Written and oral communication skills, with the ability
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 14 days ago
Development in Fish Team NCN OPUS 26 Project: "Blood circulating small non-coding RNAs (c-sncRNAs) as non-lethal biomarkers of reproductive status and gamete quality in pikeperch" (Acronym: sAnDeRNA) Principal
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 4 hours ago
/InstituteInriaCountryFranceCityGrenoble Contact City LE CHESNAY CEDEX Website http://www.inria.fr Street Domaine de Voluceau - Rocquencourt Postal Code 78153 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics