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personality: Completed doctoral/PhD studies in psychology or other related fields. Experience in research projects on human-AI interaction, preferably in a therapeutic context. In-depth knowledge of AI, LLM
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. Qualifications Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields and strong knowledge of a variety of biological areas of research with 0+ years
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, metal nanoparticles, 2D nanomaterials (GO, MXene), or surface functionalization chemistry. Experience with chemical-kinetic software such as Cantera, Chemkin, or equivalent tools. Knowledge of standard
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, or a related field with a strong focus on the bioactivity of flavor compounds. Methodological Expertise: Comprehensive knowledge in handling complex analytical instruments as well as molecular biology
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, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
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workshops and reflection sessions, contributing to collaborative and transdiciplinary knowledge development under the principle of “learning together, developing together"; Publish articles in both peer
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and characterization of COFs or other self-assembled organic materials; broad knowledge of materialcharacterization techniques, including PXRD, Raman and IR spectroscopy, and photoluminescence methods
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quantitative proteomic data with a degree of statistical rigour using common freely available software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge
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posters. You should have a relevant PhD/DPhil in Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule
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consider: ability to work and develop research ideas both independently and collaboratively knowledge of and experience in archival work (such as zenodo) knowledge of and experience in critical approaches