251 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Netherlands
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- Radboud University Medical Center (Radboudumc); Published yesterday
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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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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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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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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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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 ABP, 8% holiday allowance
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matters of scientific urgency. Where to apply Website https://www.academictransfer.com/en/jobs/357678/phd-position-in-project-mechani… Requirements Specific Requirements We look for an enthusiastic
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number of detectors and connect the large number of required optical fibers to the quantum computer, a strict bottleneck in the number of electrical interconnects between the cryogenic photon detectors and
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to acquire and develop reflexive, participatory and transdisciplinary research skills. You will be part of a vibrant and supportive interdisciplinary, international community at the Copernicus Institute
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companies in living labs, contribute to workshops and consortium meetings, and help ensure that your results are usable in practice (not only published). Where to apply Website https