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interest groups in these areas. The BfR thus makes an important contribution to the protection of human health. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours
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and training activities that will contribute to developing professional networks. Understanding the growth of surface oxide films on/in multi-component metallic substrates in electrolyte media is of
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“Mitochondrial RNA modification- driven metabolic plasticity in leukemic stem cells and drug resistance“ we are looking for a PhD student. The project is is part of the SFB/CRC 1709 “Cellular Plasticity in Myeloid
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gaining deep insights, we aim to design catalysts that fully exploit alkali species, driving real progress toward a more sustainable world. As part of our team, with expert supervisors in catalyst design
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at Tyler and UT Tyler Health Science Center The University of Texas at Tyler is part of the prestigious University of Texas System that includes 14 institutions located throughout the state. Founded in 1971
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visualization projects in various application areas is expected. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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these as part of your role. For further information regarding the skills required for this role please see the personal specification section of the attached job description. CLOSING DATE: Monday 11th August
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own research project as part of a larger team effort to better understand how language and technology shape each other. The research project is part of the Futures of Language project, in which we study
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of desired secondary structures. Experimental validation of the established AI model is also expected to be a part of this project. Specifically, your tasks will be: Running numerical simulations to generate
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networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs) with integrated passives can play a key role as a part of the PDN in enhancing power efficiency