49 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral research jobs in Netherlands
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Postdoc Position in Clinical Immunopeptidomics and Proteomics Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline: 31
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approaches such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will
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Apply now » Internal Research Fellow (PostDoc) in the Directorate of Science at ESTEC, ESAC or STScI Job Requisition ID: 20771 Date Posted: 24 August 2026 Closing Date: 21 September 2026 23:59 CET
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Postdoc Position on Multimedia Analysis Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 32 to 40 Application deadline: 15 September 2026
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computer science or artificial intelligence; demonstrable machine learning skills; curiosity about societal issues and how AI can be employed for the benefit of the public; strong teamwork skills, as
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@utwente.nl ). Screening is part of the selection process Apply now Share this vacancy About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
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and development schemes. Where you will be working You will work in an interdisciplinary team of developmental scientists, cognitive scientists and computer scientists at the Donders Institute . The
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role of CaCO3 fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with
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and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep learning, understand their mathematical