79 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"U.S"-"https:" "P" positions in Netherlands
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fixed year-end bonus of 8.3%; excellent pension scheme. In 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
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fixed year-end bonus of 8.3%; excellent pension scheme. In 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
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interact and coordinate with the principal investigator and other international members of the team on a regular basis, actively contributing to our research program, and publishing the results of your
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approaches. The selected candidate is expected to possess strong programming skills and engage with industry partners within the OpenMS project. This is a two-year position. You will join the team supervised
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creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning systems strong analytical and problem-solving skills fluency in English, both written and spoken
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per month based on a 38-hour working week, which will increase to €3,881 in the fourth year (salary scale P ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. There may be
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of sediments, carbon, pollutants, nutrients, oxygen, and heat from the continental shelves to the deep ocean. Training A personalised training programme will be set up reflecting your training needs and career
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. This PhD position is part of the Novo Nordisk Foundation–funded interdisciplinary research program RECIPE (Towards Implementing Resilience: Identification and Mitigation of Chemical, Physical, and Biological
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learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language; Eager to collaborate and
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. The project is embedded in the broader EMBRACER programme, which aims to advance our understanding of climate feedbacks. You will therefore collaborate with colleagues in climate science, systems modelling, and