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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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an enthusiastic PhD candidate to help enable the circular economy for plastics within the automotive industry. Working with industry co-sponsor Artifex (https://www.artifexinteriorsystems.com ) and based in
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Application deadline: 30.09.26 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics How to apply: https://uom.link/pgr-apply-2425 UK only This 4 year PhD project is fully
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no.: 5967 The Vienna Doctoral School in Physics is home to 180 doctoral candidates in Physics at the University of Vienna who work at the forefront of science and receive training, mentoring and support to
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, which the programme template documents must be used in the application. https://biodtp.norwichresearchpark.ac.uk/ . To maximise accessibility and attract students from underrepresented groups to our
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to apply. Please note the guidance for the programme Personal and Research Statements, which the programme template documents must be used in the application. https://biodtp.norwichresearchpark.ac.uk
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). Entry Requirements: Candidates must have, or expect to obtain, a first class or upper second-class honours degree in Ethical Hacking, Cybersecurity, Computing Science, Psychology or a closely aligned
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Economics, Public Policy, or a closely related discipline (MSc/MA required), Demonstrated research capacity, evidenced by a writing sample, The ability to work both independently and collaboratively within a
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of the trypanosome intraflagellar transport (IFT) motors and determine how their architecture supports flagellum assembly and function. You will apply multi-disciplinary approaches from cell biology, parasite genetics