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neuroscience and evolutionary biology. The University of Groningen provides exceptional infrastructure, including access to the Hábrók high-performance computing cluster for large-scale data analysis, large
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aims to use improved access to digital heritage to tutor the Digital Citizen in the use of big data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem
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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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care. In the role you will combine data analysis using clinical registries, evidence synthesis, participatory research with patients and clinicians, applied modelling, and development of AI decision
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related topic; experience with plant mineral homeostasis and/or tomato research; demonstrated expertise in the analysis of large data-sets; a strong interest in experimental research; an excellent oral and
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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originating from the transition towards a more sustainable society and focuses on four areas: The department’s ESP Laboratory brings together High Voltage testing, DC Grids environment, and large RTDS for real
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advancing innovative statistical methodology for complex, large-scale, and structured data stemming from the Life Sciences. We welcome candidates whose research combines methodological rigor with practical
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental