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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4 emissions due to the large temporal and spatial variations in CH4
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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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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and psychophysical measurement systems at Aalto Behavioral Laboratory (ABL). Computational infrastructure comprised of Triton high-performance computing cluster, CSC – IT Center for Science, and LUMI
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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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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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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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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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infrastructure for micro- and nanotechnology Computational infrastructure consisting of the Triton high-performance computing cluster, CSC – IT Center for Science and LUMI supercomputer. Potential