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or equivalent Specific Requirements Requirements for the candidate: PhD in biology, biochemistry, or related life science field, for not more than 7 years before the position starts. Hands-on experience in basic
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. - Experience of archival and document management tools and resources, statistical methods and editing publications for scientific and cultural dissemination. - Experience of participating in state-funded
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model systems for electrocatalysis Surface characterization using near-ambient pressure XPS (NAP-XPS) Method development for electrocatalysis measurements Scanning probe microscopy Synchrotron beam times
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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
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nanoparticles, whose manufacture is generally based on “trial & error” methods. Thus, the aim of TOSCaNA is to develop an experimental approach and a CFD formalism for predicting the size and morphology of metal
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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to contribute to the supervision and training of BSc, MSc, and PhD students, as well as to teaching and outreach activities within the department. As a formal qualification, you must hold a PhD degree (or
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. As a formal qualification, you must hold a PhD degree (or equivalent). General qualifications Strong scientific track record and research potential at the international level Ability to work
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: Verifiable world models. The research will focus on developing a new class of structured, verifiable world models that integrate the flexibility of deep learning with the rigor of formal methods and