581 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Netherlands
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are educated in a stimulating learning environment. Upon graduation, they have acquired the knowledge, insight and skills to make important and inspiring contributions to an increasingly international society in
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. Conduct short research visits (up to 2 weeks) to our collaborating lab at the University of Freiburg in Germany to learn methods and perform joint experiments/analyses. Take a pro-active role in
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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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. Applicants must be eligible to access information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by
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supportive environment where team members learn from one another, encourage collaboration, and strive to advance their expertise in law and digitalization. The candidate is expected to actively build and
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; interfacing with the scientific community for mission exploitation; collection and management of the operational and exploitation data; assessment of the mission objectives, lessons learned and recommendations
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, recommendations and lessons learned for future phases of Celeste and LEO-PNT in general. You will also be responsible for identifying, assessing, managing and reporting the health and safety risks in your area of
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international open science initiatives; Basic knowledge of R or Python, or willing to learn this quickly. Even if you don't bring all the listed experiences, we encourage you to apply. We are happy to invest in
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, mathematicians, computer scientists, linguists, musicologists, and cognitive scientists, who share a fascination with the interdisciplinary study of information. This is what you will do Neural approaches
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members