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learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural network development. Experience with
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training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Exposure to systematic scientific literature review and manuscript preparation. Eligibility
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subgroups, therapeutic targets, as well as prognostic and predictive biomarkers. The group is interdisciplinary, with expertise in areas such as molecular biology, medicine, and bioinformatics, and works in
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and adaptive immune system. The work tasks include methods within molecular biology, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy
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or proteomics, including basic bioinformatics analysis. Education or documented training in scientific communication, including scientific writing and oral presentation of research results. Eligibility Students
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research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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as a doctoral student are laid down in the Higher Education Ordinance (SFS 1998:80). Only those admitted to third-cycle studies may be appointed as doctoral students. In the selection process
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, research and administration, in accordance with specific regulations in the ordinance. Doctoral student employment is regulated by the Higher Education Ordinance Application process: The application must
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studies on environmental politics, forest governance or Swedish policy processes and political culture is considered a merit. Interviews will be conducted with a short-listed number of applicants during
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. Start date: 2026-09-01. You are expected to carry out your work on-site in Lund. Additional Information For questions about the recruitment process, contact Johanna Dahlin at johanna.dahlin@sam.lu.se