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, consortium deliverables Participating in international research collaborations and contributing to large-scale EU funded research initiatives Your profile Core qualifications: MD in computer science
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. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. They will
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supply systems Experience working with and analysing large climate and hydrological datasets Understanding of systems-based approaches to planning, including use of decision-support systems i.e. modelling
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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21 Mar 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Researcher Profile Recognised
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. Preferential Requirements R&D activity in the analysis of plasmid mobility - information provided in the CV and/or in the motivation letter; R&D activity in Bioinformatics, including large-scale data analysis
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, deep learning, and statistical modeling Strong programming skills (e.g., Python, R, TensorFlow/PyTorch) Experience handling large-scale ecological, biological, or remote sensing datasets Strong
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-time Research Assistant (RA) wanted for an exciting, large-scale project in the laboratory of Professor Randy Buckner. Job-Specific Responsibilities: The RA's primary responsibilities include: (1) data
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
of statistical methods in quantification of EELS data, in particularly. Prior experience with advancing EELS measurements of captive gas (of nanoliter volumes within MEMS structures) is a big advantage, and so is
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation