39 post-doc-in-machine-learning PhD positions at University of Groningen in Netherlands
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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(Intercommunale Leiedal in Flanders). This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD Project For too long, discussions
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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of English. Reading proficiency in relevant modern languages (e.g. German, Italian, French) or ability and willingness to acquire it. Excellent communication skills. Willingness to move to/reside in Groningen
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of this project, the theme of sustainable behavior change is central. We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your
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environment and to acquire valuable research experience. The project is funded by a bequest to the university and should include the archaeological record of the southeastern part of the province of Friesland
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for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
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scientific conferences. • Actively participate in and contribute to the Fertile Soils project. • Build and maintain contacts with internal and external partners. • Teach courses in the Faculty of Spatial