123 phd-cognitive-science positions at Eindhoven University of Technology in Netherlands
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cognition and technology? Are you interested in gaining expertise in AI, particularly in the field of Deep Learning? Do you have the drive to tackle real-world challenges in assistive technology (e.g
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One fully funded 5-year PhD-TA position (75% research, 25% teaching) is available in the Data Mining group, at the department of Mathematics and Computer Science, TU Eindhoven, the Netherlands
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of the Eindhoven University of Technology. However, candidates are expected to spend time at collaborating companies as well, in order to sense applicational oriented challenges and transfer knowledge. This gives
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collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at
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. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video
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A vacancy is available for a PhD student in the field of alkaline water electrolysis within the group Sustainable Process Engineering at the Department of Chemical Engineering and Chemistry
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University of Technology https://research.tue.nl/en/publications/statistical-studies-on-a-soft-glass-for-applications-in-seismolog Job requirements We are looking for enthusiastic and highly motivated PhD
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, with a PhD in Computer or Electrical Engineering or any other relevant program from a leading university Affinity with modelling techniques and algorithms. System-level thinking capabilities. Hands
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Translation Platform. Job requirements A PhD degree in Regenerative Medicine, Biomedical Sciences, Biomedical Engineering, Materials Science, or a comparable discipline. Experience with translational research
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university degree) in (applied) physics, mechanical engineering or related subjects. A research oriented attitude. Knowledge of computational fluid dynamics methods such as DSMC, LBM or PiC and parallel