268 programming-language-"University-of-Ferrara" Postdoctoral positions at Nature Careers
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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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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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods #excellent knowledge in UNIX/Linux and Unix-Scripting #very good knowledge in programming
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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statistical analysis Competency in experimental design A strong desire to learn new techniques Should Have Either electrophysiology or imaging experience Skills Highly motivated Fluent in English Organizational
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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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methods and ideas PhD in Physics, meteorology or a related subject Experience with running and evaluating models English skills that allow one to communicate in an international working environment, and to
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record