249 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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. At www.bprc.nl you can read which subjects have our special attention and how we conduct our research. We are looking for a PhD student (4 years) The project: You will be joining the Department Neurobiology
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of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment. Supervision of MA and MSc thesis related to the PhD project may be suggested one
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PhD Position in Colloidal Assembly for Nanostructured Lithium-Ion Batteries Faculty: Faculty of Science Department: Department of Chemistry Hours per week: 36 to 40 Application deadline: 23 June
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results and the progress of the PhD project, in order to decide whether employment will be continued. The PhD candidate will be recommended to teach (0.1 fte) during their fourth year of their appointment
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Institute). Qualifications We seek excellent students with a strong background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from
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or computational science. This PhD project is part of the Gravitation programme GreenTE (Green Tissue Engineering), a multidisciplinary consortium of 7 Dutch universities. Together, GreenTE will unravel how plants