597 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Netherlands
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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space transportation and information engineering Knowledge of machine learning and artificial intelligence applications in data processing Proven experience in the design and development of data
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to conduct high quality academic research, reflected in demonstratable outputs. Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills. Strong cooperation skills and
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. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community
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opportunities for co-developing multispecies governance approaches with representatives of governance bodies and identifying ways to transform towards them. Finally, we will synthesize our learning across cases
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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 the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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Website https://www.academictransfer.com/en/jobs/358285/phd-in-environmental-epidemiolo… Requirements Specific Requirements We are looking for a motivated candidate with: An MSc in Epidemiology, Public
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evaluation, acoustical and electrical engineering, patient care, and commercial exploitation. Your academic training will be oriented towards both your hard and soft skills, and involves learning-on-the-job
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive