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Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in computer science, mathematics, and
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
exclusively, interested in candidates with competence in data management and data mining, machine learning, large-scale optimization methods, and natural language processing. With a position in Campus Vejle
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, which also encompasses single-cell resolution spatial transcriptomics of human plaques to precisely identify and characterize disease-relevant smooth muscle cell phenotypes, a parallel track of organoid
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CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and dissemination of project
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in advanced multicolour spectral flow cytometry, including multi-parameter sorting and single cell sequencing technologies. Strong experience in bioinformatics, large-scale data analysis and the
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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is to use a cutting-edge ensemble of genetic, cell biological, biochemical, organismal, and modern ‘omic’-approaches to achieve a comprehensive understanding of the process of gene expression. CGEN
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human