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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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. In addition, we value experience in successful project work and research collaboration with industry. Proof of and potential in high-impact international publishing and experience in the acquisition
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of Forest Sciences. Applicants must have strong evidence of research, teaching, and thesis supervision in the field. Successful performance in the position requires the applicant to have research and teaching
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background in population genetics and you’ve been looking for a project where you can study adaptation and trait architecture in high spatial and genomic resolution? We are seeking two postdoctoral researchers
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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research, such as microbiology or virology, molecular or cell biology, or biochemistry Has a high level of written and spoken English and strong communication, social, organisational and time management
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training in the second area are encouraged to highlight this in their application. Experience with high performance computing and GPU acceleration tools (e.g. CUDA) and deep learning frameworks, such as
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would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (see Backholm et al., Nature Protocols 2019 https://doi.org/10.1038/s41596-018
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programming (such as Python, R, Bash) The candidate is required to have documented research experience with large-scale omics data analysis Experience with high performance computing is a strong advantage
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infrastructure for micro- and nanotechnology Computational infrastructure consisting of the Triton high-performance computing cluster, CSC – IT Center for Science and LUMI supercomputer. Potential