151 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Netherlands
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- Eindhoven University of Technology (TU/e); Published yesterday
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- University of Amsterdam (UvA); Published 5 Dec ’25
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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creative computer simulations have made to the development of phase theory, the science that studies the behaviour of matter under changing circumstances. What the jury has to say about Daan Frenkel ‘Daan
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various training and development schemes. Where you will be working You will be based at the Behavioural Science Institute (BSI), where you will work within the framework of the Learning, Education
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motivating work environment and promoting good team spirit; supporting team members with ongoing professional development by encouraging learning and delegating responsibilities; identifying, assessing
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for space applications; Leading the centre of excellence for advanced simulation methods including scientific data processing and databases, software applications including human-computer interfaces, support
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on behavioral lab experiments but may also include other empirical approaches depending on how the project develops. During the PhD, you will: Learn how to combine theory-driven empirical sociology with
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strong organisational skills Excellent computer skills, especially the usage of Microsoft Office applications Specific Skills Students must have successfully completed at least 2 years of an undergraduate
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Qualification portfolio. You will be part of the WECARE research team, led by Dr Sonja Marzi (PI). Your supervisors will be Dr Sonja Marzi, Dr Tine Davids and Dr Edwin de Jong. Would you like to learn more about
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management (Ability to capture, organise, and share knowledge, including lessons learned and best practices, to enable learning, ensure consistency, and improve quality across teams and projects) Behavioural
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute