22 machine-"https:"-"https:"-"https:"-"https:"-"Mathjobs" PhD positions in Netherlands
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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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reactions. (2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing
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demonstrated its potential to support people with limited arm and shoulder function. Your task will be to explore and develop an AI-enhanced Human-Machine Interface (HMI) that enables a more intuitive and
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physics, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website ( https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https
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and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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European Magnetism Association EMA | Nijmegen, Provincie Gelderland | Netherlands | about 2 months ago
Home > JOBS Ultrafast Magnetism in Frustrated Materials [ All offers ] 2026-07-24 | PhD Lab/Company : HFML-FELIX Location : Nijmegen, Netherlands Yearly income : https://www.nwo-i.nl/en/vacancies/phd
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have a master’s degree in computer science, data science, computational science, AI, or a closely related field, with excellent marks. You should have documented experience with machine learning, bias
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, and bring together technology and service providers, customers, researchers, investors and institutional partners. You can read more about BSGN on the website: https://bsgn.esa.int You are
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found via: https://www.maastrichtuniversity.nl/research/institutes/amibm/research/biobased-polymers About Research Group Sustainable Polymer Synthesis Main research focus is on the design and synthesis
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information systems. The work sits at the boundary of machine learning and quantum computation, addressing how quantum devices can remain robust and reliable when operating under real-world noise conditions