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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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writing and presentation skills. At the start of the PhD, having obtained a Master’s degree in a relevant field, such as AI, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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For this interdisciplinary and field-intensive project, we are looking for a highly motivated and skilled PhD candidate with a recent MSc degree (or equivalent) in biology, ecology, ethology, physics, or engineering, with a
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synergy across mathematics, physics, and biology whose members are: Senja Barthel -- https://research.vu.nl/en/persons/senja-barthel Antoine Deblais -- https://www.deb-lab.com/ Joanna Ellis-Monaghan https
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. Enthusiastic and highly motivated candidates willing to work as part of a team on these challenging questions are sought. Both candidates with a background in physical chemistry who are willing to move towards