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Royal Netherlands Academy of Arts and Sciences (KNAW); 17 Oct ’25 published | Netherlands | about 2 months ago
acquire for the very first time a comprehensive understanding of the immense transformative effects of commodity frontiers in the Global South that fed the rise of early industrial capitalism, in
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European consortium, we bring together industry partners, municipalities, academia, learned societies, and patient organisations to cocreate, pilot, evaluate, and iterate a series of city-level strategies
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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. You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together expertise in robotics, sensing, machine learning, biomechanics, and haptics
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subpopulations, as well as (plastic) cancer cell states that contribute to tumor progression, metastasis and therapy resistance. The candidate will lead several projects applying machine learning to (single-cell
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expertise in robotics, sensing, machine learning, biomechanics, and haptics. The project is funded by a NWO VIDI grant to the PI and provides financial security, access to state-of-the-art equipment, travel
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understanding of what citizens think about the military and security and defence policy and thus to better understand the societal context of the current transformation of the military and the policies
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during your bachelor, master and PhD courses. For more information about this function, please contact dr. K.E. Konrad, email k.e.konrad@utwente.nl, phone: +31 53 489 3906. About the department You will
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a