10 service-design-"https:"-"https:"-"https:"-"https:"-"https:" positions at SciLifeLab
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-sharing services, as well as advanced support and training in data governance, AI development, and secure systems design. Our users include researchers, industry partners, and healthcare providers
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, hardware-software integration, image analysis. Sequence library design, molecular cloning and protein purification: Designing and preparing molecular sequence variants for which binding are to be studied in
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of Infrastructures at the Department of Life Sciences, Chalmers University of Technology. CMSI provides advanced mass spectrometry-based analytical services and expertise, with a particular focus on metabolomics and
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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study design, conduct high-quality omics analyses and statistical and machine-learning based modeling, as well as gaining a deeper understanding in extracellular vesicle biology. Work duties and
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts
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two years at a time, depending on your progress through the study plan. Starting date by agreement. Salary and employment benefits The salary of PhD students is determined according to a locally
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skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a
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well as completion of compulsory courses within the doctoral programme. Within the research projects, you will plan studies, collect data, clean the data, perform analyses, interpret results, and present your findings
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conformational transitions induced by ligand binding, cofactors, metabolites, stress, or post-translational modifications. While recent deep-learning methods such as AlphaFold have transformed protein structure