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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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; Couple the model to a 1D physical model (GOTM) through the FABM framework; Validate the coupled model using published and newly gathered observational data; Conduct numerical experiments to understand
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infrastruture and Core Facilities Recreation: 30 days annual leave, flexi days, plus public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion
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skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and collaboration with experimental groups. PhD
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-quality educational program. We understand that relocating to a new country or city can be a significant transition. As a team, we are committed to supporting you throughout the process and ensuring
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international conferences. Your profile Applicants should hold a PhD in physical chemistry, material science or similar related subjects and have experience and expertise in small-angle X-ray scattering(SAXS
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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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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colour centre spins. Your work supporting and further develops the fabrication of these chips, i.e. together with 1-2 PhD students, you will work on the sample process line involving several cleaning steps
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management