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scientific coding and related analyzing tools (e.g., R, Phyton, MatLab) Publications in high-ranking journals Good collaboration skills and ability to work in an interdisciplinary team within marine science
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
(e.g., using R), has experience in conducting literature reviews, know and understands the concept of Adverse Outcome Pathways (AOPs) in toxicology. We are looking for a highly motivated candidate with
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has two parts: NIVI Research Center (NIVI-R): A state-of-the-art research center anchored to the University of Copenhagen, Department of Immunology and Microbiology (www.isim.ku.dk). NIVI Development
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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other omics data. Programming experience in R and/or Python, as well as familiarity with Unix/Linux-based computational environments and reproducible research workflows. Interest in integrating genetic
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competencies Applicants must hold an MSc degree in statistics, genetic epidemiology, bioinformatics, clinical data science, medicine, or a related field. Programming skills (e.g., R, Python, or similar) and
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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://www.multilawa.eu . MultiLAwa will deliver a training programme to 14 Doctoral Candidates that equips them with all capabilities to become leaders of tomorrow's R&I in Europe. Project description The successful
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic