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for collecting human subject data including blood draws Must have some exposure to analyzing EEG data Must have introductory understanding of quantitative analysis methods Must be able to work independently
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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, material synthesis, catalysis, analysis and characterisation, battery cell, recycling, sustainability and life cycle analysis. Theory and Modelling Theoretical work is conducted on very different length- and
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personal skills , alongside unique opportunities for research placements and access to state-of-the-art experimental facilities. As part of this privileged group, you will evolve into a highly skilled
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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have a strong desire to work on plant micronutrient uptake mechanisms of crop plants. You are a highly motivated scientist with the commitment to achieve scientific excellence. You have a strong team
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environment. This is an opportunity to combine field work and desktop analyses to advance the understanding of how shipping impacts the marine environment. The research will inform competent authorities on how
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You