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that affects the measured data and translate the observations into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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and sense of priority, independence, ability to effectively communicate scientific results (oral and written), team player. Fluent command of English (written and spoken) is a must. The starting date
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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understanding and ultimately controlling these interfaces, we will enable the development of advanced energy systems and electronic devices, including high energy Li/Na batteries, all-solid-state batteries
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About us King’s College London is an internationally renowned university delivering exceptional education & world-leading research. We are dedicated to driving positive and sustainable change in
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12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Analytical chemistry Chemistry » Physical chemistry Chemistry » Other Computer science
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or sorption). Very good command of English, spoken and written, as it is required in the daily work. As a person you are independent, take initiative and have a strong ability to collaborate in
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that every dataset entering the lab is secure, quality-controlled, and analysis-ready, and that the computational environment is reliable and reproducible. In line with our and Uni Basel values (https
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control would be advantageous, but is not required. Strong verbal and written communication skills in English are required, together with enthusiasm for collaborative, hands-on research. You are motivated