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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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; ● Experience compiling, processing, and analyzing large spatial fisheries datasets and/or fishing fleet behavior (via e.g., AIS data) in management contexts; ● Demonstrated understanding of how insights from
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. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
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interests and an explanation of why you are interested in the position. CV List of publications PhD degree certificate and any other relevant degrees Contact information for two referees The application
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interest) in nanopore based DNA methylation analysis and previous bioinformatics training. Requirements: PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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task essential for grid stability. The goals of the project are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor