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with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
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partitions of unity that are unavailable in the analytic setting. We expect to apply these techniques to geometry, quantum mechanics, and other fields in mathematical physics. The project will be supervised by
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sciences (i.e. physics, mathematics, computer science, engineering, computational biology) with motivation for crossing disciplines to solve complex biological processes. Experience in Plant Biology and/or
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environmental and societal sustainability. The position is linked to Work Package 4: Digital twin asset management. The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences
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offers an exciting opportunity to explore ultrathin metamaterials: a novel type of device that utilises digital and mathematical techniques to design multifunctional visual aids to help address and correct
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of the resulting performance in our MEMS measurement lab. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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10 Jul 2026 Job Information Organisation/Company CNRS Department Institut des NanoSciences de Paris Research Field Mathematics History » History of science Researcher Profile First Stage Researcher
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
and their contact information (one must be someone you have worked for as an RA); current CV; transcript; condensed transcript; written list of classes in economics, mathematics, statistics