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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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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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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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the organoid experiments and bioinformatics are performed in University of Helsinki, while the animal experimentation is performed in University of Oxford. The project utilizes a number of sequencing techniques