49 programming-language-"HT---Human-Technopole" positions at University of Copenhagen
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focusing on place and mobility in the 20th century. We welcome applications from candidates with backgrounds in Danish studies, Scandinavian studies, linguistics or ethnology. The successful candidate will
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to data science Knowledge of high-performance computing platforms (HPCs) Experience with code sharing and collaboration using git/github Teaching experience Knowledge of additional programming languages
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macroecology. Proficiency in programming in open-source languages such as R, Julia, or Python. Excellent communication skills and the ability to work in teams and in a cross-disciplinary research center
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-scale empirical datasets in macroecology. Proficiency in programming in open-source languages such as R, Julia, or Python. Excellent communication skills and the ability to work in teams and in a cross
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to population genetics and comparative genomics. Proficiency in programming in open-source languages such as R, Julia, or Python. Excellent communication skills and the ability to work in teams and in a cross
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correlative, process-based, and/or null models to large-scale empirical datasets in macroecology. Proficiency in programming in open-source languages such as R, Julia, or Python. Excellent communication skills
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. Demonstrated experience working with high-throughput whole genome sequencing data. Proficiency in programming languages and bioinformatics tools, including but not limited to: Python, R, Bash, Snakemake, and
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://nbi.ku.dk/english/research/pice/precise/ ). We are looking for a talented, highly motivated and creative student interested in working in a strong interdisciplinary environment. The successful candidate
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supplement is possible. The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan
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program , and has the long-term vision to reduce the risk of isolation, stigma, and burnout for neurodivergent computer science students with intersecting diversity dimensions. We will create enabling