709 machine-learning-"https:"-"https:"-"https:" "Newcastle University" positions in Netherlands
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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PhD position: Develop Hybrid Machine Learning for Global Soil Mapping Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Apply now » Estonian National Graduate Trainee in AI/Machine Learning Mapping of Forestry Biodiversity Job Requisition ID: 20892 Date Posted: 15 September 2026 Closing Date: 1 November 2026 23:59 CET
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University Lecturer Faculty: The University Corporate Offices Department: University College Utrecht Hours per week: 12 to 24 Application deadline: 31 August 2026 Apply now Do you enjoy teaching
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peptide catalysts for powerful C-C-bond forming reactions. (2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University
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Dutch university requirements 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
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Vrije Universiteit Amsterdam (VU) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PostDoc who will do research on the intersection of machine learning (ML
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Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 22 hours ago
matter phenomenology. GRAPPA is the center of excellence in gravitation, astroparticle physics, and cosmology at the University of Amsterdam, located at Amsterdam Science Park, with a lively seminar
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develop a new theoretical framework for learning in physical systems with time-dependent dynamics. Unlike conventional machine learning algorithms, these systems learn through local interactions and