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, bioengineering, or related life sciences) Strong organizational skills and the ability to manage multiple tasks and projects in parallel Hands-on experience with experimental laboratory work (e.g. cell culture
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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managing user-requested proteomics and other MS-based research projects, including hands-on laboratory work. Operation of the MS instruments, Orbitraps (Thermo Scientific) and tims-TOFs (Bruker) interfaced
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on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognised for its excellence in
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interest in quantitative biology Curiosity and motivation in learning multiple -omics approaches Preferred experience includes familiarity with quantitative proteomics or NGS library generation Previous
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, research engineers, bioinformaticians, system developers, and system administrators. Each year, we process more than 60,000 samples and generate over 400 Terabases of data. More about our activities and
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at the forefront of molecular biology and medicine. Your mission As a research engineer, you will contribute to the overall operation of the laboratory, including cell line maintenance, management of reagent stocks
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information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses