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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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– Documented experience in large-scale data management, high-performance computing systems, GPU acceleration, and parallel file systems – Ability to communicate fluently in English, both spoken and written
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, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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need to fulfil the following requirements: PhD in one of the following fields: bioinformatics, molecular biology, computer science or related subjects the employer considers of relevance to the position
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the department’s activities within method development for machine learning-based computational biology. The duties include supervision of PhD students and postdocs, and teaching at basic, advanced and research level
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prior experience in one or more of the following areas Särskilt meriterande krav Experience in using computer clusters and distributed systems. Experience in virtualized environments, e.g., Docker
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Area. Key responsibilities may include: Contributing to the overall scientific direction and strategic development of the PLP program, including developing a long-term vision from infectious biology to
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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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) and the student joins its research program. Another PhD position on generative modeling for biology is available here . Supervision: Hossein Azizpour is proposed to supervise the doctoral student