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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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field-sites provide us insights on how soil microbial composition and diversity responds to a shift of vegetation types, climate, and land cover. In this PhD project, you will investigate how vegetation
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written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open-source scientific software ● A fully funded four-year PhD position (100 %) in a new
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per
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-physical systems and the Internet of Things (IoT). Position You will actively work on the preparation and defence of a PhD thesis in the field of wireless and embedded communication systems. You will conduct
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new colleague for the Circular Consumption through Value-Chain Integration and Co-Creation for the Circular Economy (CIVIC-4CE) project. We are seeking an excellent candidate for a 4-year PhD study as
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
will fund full-time UK-rate tuition fees and UKRI-rate stipend (for 2026/27 academic year this is £23,805, including London Allowance) for 3.5 years including a 3-month placement for career enhancing
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3.5-year D.Phil. studentship Project: Synthetic Biology for fundamental science and application scale-up. Supervisors: Prof Harrison Steel and Prof Antonis Papachristodoulou This project will focus
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the future? PhD research fellow in "Distributed Optimization and Control of Reactive Power" Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We invite applications for a PhD position in Efficient Edge Intelligence