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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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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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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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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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Visualization (CMIV) at Linköping University Hospital (www.liu.se/cmiv ). Analytic Imaging Diagnostics Arena (AIDA) is a national initiative based at Linköping University that supports research and innovation in
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are required: •MSc in analytical chemistry, or an equivalent degree with a strong focus on analytical chemistry. •Hands-on experience of LC-MS-based analytical work. •Practical experience of sample preparation
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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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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
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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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experience in areas such as advanced image analysis, data structuring and data integration, and large language models (LLMs) with applications in biological and biomedical research. The successful candidate´s