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interdisciplinary research environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill Development: Our extensive
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to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity. Students will have the opportunity
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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato
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component provided by the industry partner a professional development training program. A tuition fee scholarship for four years. Scholarships also include up to $1,500 relocation allowance. Supervisor: Prof
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. How to apply Applications should be submitted via the Veterinary Medicine and Science PhD programme page, by clicking the 'Apply' button, above. In place of a research proposal, you should upload a
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laboratories and In-house sequencers and bioinformatics servers. Principal supervisor is Prof. Lars Hestbjerg Hansen, Department of Plant and Environmental Science. E-mail: lhha@plen.ku.dk . Phone: +45 28752053
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-leading centre for research in acoustic engineering. The IoSR is also home to the world-renowned Tonmeister degree, which has produced a stream of highly successful graduates who have collectively received
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools