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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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their PhD, they will remain employed by the partner. The WIFORCE Research School Biodiversity and the role of forests in climate change are now key social issues that require more knowledge. In order to both
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MSc (or equivalent) in Psychology, Clinical Neurosciences, Cognitive Science, Digital Health, or related fields. Interest or prior experience in digital phenotyping, vocal biomarkers, and AI-assisted
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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inside compartments and use this knowledge to tailor IDPs for enhanced biocatalysis. Your profile: Eligible candidates have strong skills in molecular biology, (bio-)chemistry, and biophysics and have
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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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the fabrication and characterisation of molecular nanostructures on single crystalline surfaces under ultra-high vacuum (UHV) conditions. Knowledge of X-ray absorption spectroscopy at synchrotron radiation sources
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and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. This 3-year position, part of