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of field experiments, literature review. The ideal candidate will have a strong quantitative background, excellent research and analytical skills, and experience working with Stata, Python, and other
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demonstrate: Good programming skills in Python and experience developing modern web applications using React.js. Experience working with SQL databases and an understanding of modern web application architecture
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quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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maintenance and equipment and aquatic animal husbandry and aquatic life-support systems. Experience rearing Cassiopea or other cnidarians across polyp and medusa life stages. Experience with Python data
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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(https://engineering.pitt.edu/bioengineering ) is seeking a Research Assistant Professor (Appointment Stream). Incumbent must possess a PhD in Bioengineering, Neuroscience, Neurobiology, Biomedical
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, and have a duration of 3 months. Where to apply Website https://www.iastro.pt/ia/jobDetails.html?ID=282# Requirements Research FieldAstronomyEducation LevelBachelor Degree or equivalent Skills
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at least one programming language (e.g., R, Python, C, or C++). The candidate should have strong expertise in at least one of the following thematic areas (expertise in multiple is a plus, but not required