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insights on long-standing questions on sex chromosome evolution and on evolutionary processes at large. Duties In this PhD project, you will explore some of the most fascinating questions in evolutionary
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https://www.kth.se/is/dcs/ . Supervision: Prof. Matthieu Barreau, Alexandre Proutiere, Anna Herland, and Avlant Nilsson is proposed to supervise the doctoral student. Decisions are made on admission
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in advanced national postgraduate courses and training events. Qualification requirements The candidate should have a Ph.D. or similar working experience in Image analysis, Bioinformatics
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About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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research across various areas, managed under the Department of Immunotechnology. Through the collaborative project L2Bridge, which is supported during five years by a donation (https://www.lu.se/artikel
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data-driven diagnostics. About the project Cancer treatment often involves surgery, chemotherapy, and radiotherapy. While these treatments have improved outcomes, they can be long-lasting and cause
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(e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in
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involves data sources from large population-based cohort, national registry-based cohort, and clinical imaging cohort. The student will learn how to conduct high-quality epidemiological studies including
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goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying