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@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/363712/phd-position-on-the-effects-of-… Requirements Additional Information Website for additional job details https
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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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PhD, you will: perform large-scale potato experiments using 100 contrasting soil microbiomes; use automated high-throughput phenotyping to quantify plant growth, physiology and disease development
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources
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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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Fatigue profoundly impacts mobility and quality of life in people with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine
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. This is where you will be working This PhD position is part of an NWO-funded Open Competition Large project, led by two PIs: Eva van Lier and Marieke Schouwstra, affiliated with two research schools
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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the guidance of your daily supervisors Dedmer van de Waal and Mandy Velthuis. You will develop a PhD thesis plan, prepare and perform the research, analyze the data, present your results at meetings and