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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal
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Infrastructure? No Offer Description The project is funded by NCN under the SONATA-BIS 13 program, project titled: “Tests of the Standard Model predictions with rare light meson decays and the HADES@GSI
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computational models for quantum magnets and neutron scattering observables. Generate, document, and manage synthetic datasets (e.g. S(Q,ω), diffraction, thermodynamic data) for AI training and validation
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22 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Engineering Computer science Mathematics Researcher Profile First Stage
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Earth System Modeling”. Its overall objective is to develop an innovative framework for integrating citizen science data from the GLOBE Program with NASA Earth observations to model and predict mosquito
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modeling. Brief Description of Duties: The Postdoctoral Associate will assist the Principal Investigator Dr Fang Luo in the Department of Electrical and Computer Engineering . The incumbent will conduct
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Stage Researcher (R1) Country Sweden Application Deadline 5 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated