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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Persistent organic pollutants (POPs
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) Country Germany Application Deadline 16 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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of high-performance materials for green hydrogen production and energy storage. · Perform detailed STEM analyses on project-related materials provided by NEXPECH₂ partners, contributing directly to the
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-substrate interactions. Clone and express top candidates using high-throughput cell-free and bacterial systems. Perform structural and biophysical characterisation of designed enzymes Perform functional
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processing, while maintaining high efficiency and selectivity in flotation performance. Responsibilities: Develop and synthesize bio-based flotation additives (e.g., collectors, dispersants, depressants
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Lab . We also have excellent High- Performance Computing facilities. About Utrecht The department and its facilities are located at Utrecht Science Park. Utrecht is the fourth largest city in
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Deadline 22 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials