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program 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 cellular processes
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and
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Postdoctoral Fellow in Evolutionary Systems Biology The Department of Zoology is one of the departments within the Faculty of Science and has approximately 80 employees including researchers, PhD
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omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
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Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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. Documented experience with bioinformatics and/or multi‑omics cancer data integration (e.g. genomics, transcriptomics, proteomics, imaging). Experience from interdisciplinary collaboration with biologists
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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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to certain cells. We use high throughput sequencing to monitor the selection process and discover individual candidates that work well. Our lab is based in Scilifelab, an interdisciplinary research environment