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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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Application Deadline 11 Feb 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme
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Application Deadline 28 Feb 2026 - 23:59 (Europe/Brussels) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with
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Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CENTRO2030-FEDER-02611400 Is the Job related to staff position within a
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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Your Job: Investigate the potential of novel computing architectures for lattice field theory workloads Contribute to the design and implementation of an open-source lattice field theory framework
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Compensation Estimator to calculate the total compensation value with benefits. Qualifications Coaching experience Experience with providing effective STAND coaching (or orientations) in at least 20 sessions
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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the mission areas of the Cancer Program and OSUWMC. This position will interface with all levels of the organization and will lead and facilitate cross functional teams to improve processes. Additionally