249 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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- University of Amsterdam (UvA); Published yesterday
- University of Groningen
- Wetsus - European centre of excellence for sustainable water technology
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" manufacturing, and advancing digital twins for next-generation additive manufacturing. Where to apply Website https://www.academictransfer.com/en/jobs/357759/phd-on-tomographic-volumetric-a… Requirements Specific
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understanding needed to guide crop improvement, support breeding strategies, and design resilient ideotypes for future Dutch protein landscapes. Where to apply Website https://www.academictransfer.com/en/jobs
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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and Fortran and in the use of high-performance computer systems you have affinity and preferably experience
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the response model from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques
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of writing; You have an interest in / affinity with colonial history and languages; You have experience with or are willing to learn about early modern archival sources; You have full professional working
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Institutes). An appointment at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour work week. Pension scheme via
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced
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physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research