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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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of Plant Biotechnology and Bioinformatics, Ghent University, Belgium (PhD degree affiliation) KR01 – Department of Environmental Technology, Food Technology, Molecular Biotechnology, Ghent University Global
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cell culture and cellular assays. • Strong skills in experimental data analysis, bioinformatics tools, and statistical analysis. • Knowledge and compliance with current health and safety regulations in
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specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise. This will include the development
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. Postdoctoral Research Fellow in Biostatistics and Bioinformatics Duke University is seeking a postdoctoral research fellow in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/) within
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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Studies of the University of Ostrava announces a selection procedure n. OU-172744/20-2025 to fill the position Researcher of the REFRESH project This is a post to be filled in accordance with the terms
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? No Offer Description JOB POSITION: PhD Junior Researcher (Investigador Júnior) I-PI 94-25 Applications are invited by the University of Alicante President to participate in a recruitment process for
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bioinformatics Likelihood of advanced skills directly related to the research projects High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to
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supervisors for reference purposes including the clause: "I consent to the processing of my personal data necessary for the recruitment process, in accordance with the Act of 29 August 1997 on Personal Data