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conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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membrane proteins that are slow, complex, or difficult to produce in large quantities. The project offers the opportunity to work with cutting-edge methods, advanced synchrotron experiments, and highly
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value
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and a complementary master’s degree; or acquired substantially equivalent knowledge through education or professional experience in Sweden or abroad. The eligibility requirements must be fulfilled
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, geoinformatics, oceanography, or a related field as well as good knowledge in written and spoken English is a requirement. Merits are: Experience with environmental data analysis and quantitative methods, with
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experimental method development and optimisation. Experience with reporter assays, transient expression systems or genome editing approaches is particularly relevant. Work tasks The doctoral student will be
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credits are at second-cycle level; or acquired substantially equivalent knowledge in some other way, either in Sweden or abroad. Required Qualifications Previous research experience in pancreatic cancer
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effective, socially robust, and relevant to real-life residential contexts. The project employs a combination of methods, including controlled experiments in the IHBI laboratory, studies in immersive and