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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
combination of plasma diagnostics (e.g. OES) and surface characterization techniques (FTIR, SIMS, XPS), the project seeks to develop a scientifically grounded, scalable plasma treatment process. The outcome
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Providing guidance to PhD, MSc, and BSc students Organizing relevant workshops and demonstrations Participating in proposal drafting to attract industrial, national, and European projects
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. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any emerging new insights in the literature, you will update
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Applications should include: A cover letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works
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PhD in Biological Sciences or a related discipline Preferably, prior professional experience as a Postdoctoral Researcher Proficiency in cell culture techniques, ideally including 3D cell culture models
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29 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Luxembourg
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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activities in support of project management Guide PhD students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in
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profile PhD in Biological Sciences, Data Science, Computational Biology, or a related discipline Preferably with prior professional experience as a Postdoctoral Researcher Strong computational background
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of D4H activities, including seminars, symposia, and public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a