41 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Amsterdam (UvA)
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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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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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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(e.stamkou@uva.nl ). No agencies please. Where to apply Website https://www.academictransfer.com/en/jobs/357784/postdoc-on-gender-bias-in-film/… Requirements Additional Information Website for additional job
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information about working at the UvA can be found here: https://werkenbij.uva.nl/en/about-working-at-the-uva . This is where you'll be working The University of Amsterdam is the Netherlands' largest university
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
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vision, machine learning, and related fields Lead and contribute to multidisciplinary projects with clinicians, scientists, and industry partners. Secure funding, publish in leading journals, and present
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section: https://abs.uva.nl/content/sections/strategy-international-business/strategy-international-business.html Do you recognize yourself in the profile and are you interested in the position? We
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guidelines ). Only complete applications received within the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/357878/phd-position-in
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them at (inter)national conferences. What do you have to offer You are: Curious, creative, and interested in learning from different disciplines Familiar with quantitative data analysis in social