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honours or equivalent). Strong analytical and experimental skills are desirable. The project's specifics will be determined in collaboration with the successful candidate, tailoring the research
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ticking boxes – it’s about your curiosity, motivation, and drive to create change. Do you recognise yourself in this? Curious and analytical. You enjoy investigating complex chemical systems and translating
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
nature (e.g. expressed by growth curves), can be derived from various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore
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, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements. Home and international applicants (inc. EU) are
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in academic, industrial, or national laboratory settings. Familiarity with wet chemistry experiments and anoxic glovebox maintenance. Familiarity with IR spectroscopy, optical cavities, and analytical
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chromatography tandem mass spectrometry method and its utility to assess pre-analytical stability. Clinical Chemistry and Laboratory Medicine, 2025, 63(1), DOI: 10.1515/cclm-2024-0275 [4] Tomé Mendes L, Gama
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. Oliver Maguire. Training and Mentoring You will learn a multidisciplinary set of practical skills including organic synthesis, analytical techniques (e.g. NMR / fluorescence / UV-Vis spectroscopy, mass
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fermentation, and the circular bioeconomy. You should enjoy both experimental and conceptual work, be eager to learn, and value teamwork. Experience with bioreactors, analytical instruments, and microbial
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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at the intersection of computational modelling, cutting-edge analytical chemistry, and experimental toxicology. The overall aim is to develop and validate new computational models to better understand how