20 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Mathjobs" PhD scholarships 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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functioning in children. Childhood cognitive development shapes health and success later in life, understanding how environmental risk factors alter children's brain function, learning and behaviour
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will work within an international consortium consisting of: · University of Twente · Assistive Innovations B.V. (<https://www.assistive-innovations.com/>) · Re:Lab s.r.l
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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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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 1 hour ago
would be interesting in working with. A list of all faculty members can be found at https://iop.uva.nl/people/permanent/staff.html A diversity statement (max 2 pages). You can for example write about how
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connections between individuals, groups, and institutions contribute to new pathways to and forms of social cohesion. See https://socion-program.org/research/ For more information about this position
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information or questions about the position, please contact dr. Ivana Qianqi Lin via: [https://www.utwente.nl/en/tnw/hmoe ] Apply now Share this vacancy About the organisation The Faculty of Science
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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 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