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Field
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. Key tasks include sample preparation, extraction, and HRMS analysis, as well as processing large datasets involving feature detection, annotation, structural elucidation, and trend analysis
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science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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construction materials and materials from renewable feedstocks. Within and across these areas, we develop new materials, processes and analytical methods that enable advances in technology, industry and
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specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in the Pollination Service Window. The researcher will use Bayesian inference (e.g., Integrated Nested Laplace
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type identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment
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systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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. The position requires someone with good collaboration and initiative-taking qualities, an ability to work independently and in a structured way, as well as the ability to prioritise among different work tasks
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. Possible research directions include studies of ejecta structure and composition, circumstellar interaction, and pulsar wind nebulae. The candidate will also have the opportunity to participate in
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drive systems is an advantage. Also, experience in applied work with measurements and construction of experimental setups in electrical engineering is an advantage. Further information Full-time fixed