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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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thickness. We will employ temperature, light, (tunnel) electrons, and soft x-rays to trigger the spin-state switching of the complexes. Using a combination of x-ray absorption spectroscopy (XAS) and in
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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of ultra-long graphene nanoribbons (GNRs) encapsulated in hexagonal boron nitride (h-BN). The charge transport properties of these devices will be investigated using a combination of conductance and
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environments – all impacting disease transmission. Cost-Effective Solutions: You’ll evaluate potential interventions – combining resource-use and intervention-costs, considering cost-effectiveness, user
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career, whether in industry or academia. Please contact Prof. Isaac Chang (Isaac.Chang@brunel.ac.uk ) for an informal discussion about the project. Eligibility Applicants will have or be expected
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to develop a PhD study in partnership with community partners and may include; Evaluating the cultural and clinical effectiveness of combination nicotine replacement therapy (cNRT) delivered via mail
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof