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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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for Pediatric Immuno-Oncology (CEPIO) and Department of Immunology, is seeking passionate and highly motivated candidates for a fully funded postdoctoral fellowship in either St r uctural Biology or Cell Biology
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability
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Proven publication activity in the field of microbiome research Sound knowledge of microbiological and molecular biological work Experience in the acquisition and management of R&D projects and
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publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet
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approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
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at least one programming language: Python, MATLAB, R or C A strong publication record in relevant fields. Curiosity, critical thinking, and enthusiasm for interdisciplinary teamwork. Comfortable
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learn mathematical modeling and quantitative analysis Ability to program in at least one of the following languages: Python, MATLAB, R or C Evidence of outreach, mentoring or community building. Required