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of XYZs, higher order perturbative calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
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the group and partners. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship
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placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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Collaborating Centre of the World Health Organization. Your profile: You have a master degree in biostatistics or a related domain such as data science, mathematics or applied mathematics. You can demonstrate
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Positions 1 Time Span as soon as possible for 3 years Application Deadline 15 Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation
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(ERC), as part of the ERC Consolidator Grant 2024 scheme of Horizon Europe, grant number no. 101170033. Led by Prof. Raul Cârstocea (Principal Investigator), the project investigates the global spread