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Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number FENG.02.03-IP.05-0113/24 Is the Job related to staff position within a Research
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requirements you meet and how. A project proposal in English of maximum 5 pages including references. The project proposal with your research plan should describe how your project is linked to and will
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How do computational
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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Particle Physics. An official proof of Ph.D. graduation by the time the position starts is strongly preferred. • Strong background in particle physics and familiarity with programming languages commonly used
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with programming languages commonly used in particle physics research. • Demonstrated ability to conduct independent research and a record of publications in peer-reviewed journals. The successful
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators