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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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to building our profile in modern computational statistics and statistical machine learning, as exemplified in our new joint Master’s programme with Computer Science. In the position you are entitled to a
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relevant to the subject area. In the appointment process, special attention will be given to research skills. We are looking for candidates with wet-lab expertise in RNA biology and next-generation
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the Department of Life Sciences collaborating to combine knowledge in biology, chemistry, and physics to study nucleic acids, proteins, and lipids and their interactions with cells. Within the Holme group, we
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umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social-science
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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills
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the strategic development of medical humanities in the health profession programmes at the Faculty of Medicine. These responsibilities and tasks require a physical presence to a great extent. Other tasks may also
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complete the doctoral programme. In the assessment process, particular emphasis will be placed on the candidate’s motivation, potential to carry out doctoral studies, and the breadth and composition
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(iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare lab conducts research in the field of precision diagnostics and medicine
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deadline: August 18, 2025 Requirements To qualify for admission to the PhD programme, you must have: A Master’s degree (or equivalent), Completed at least 240 ECTS credits, including at least 60 ECTS credits