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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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consent to share your application with Julie MOUZON, R&D Director from Circuit Foil Luxembourg Your diploma has to be recognized in Luxembourg. Please refer to: https://www.uni.lu/en/admissions/diploma
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background in stochastics (probability theory and statistics) is desirable Good English as well as programming skills in R, python or C/C++ Pedagogical and presentation skills. German language skills are not a
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position, after a 3 year trial period. Salary: € 54.138 to € 70.134 gross salary per year, plus health coverage and other benefits. Other salary supplements are linked to participation in R&D projects Food
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human
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. • Demonstrated skills in bioinformatic and statistical analyses of microbiome and ecological data including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance
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. The postholder will also contribute to quantitative analyses, including survey data and secondary datasets (e.g. TIDES, UK-REACH, NHS CHECK, NHS staff survey) using statistical software such as Stata, R, MPLUS
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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. This must include strong Excel skills. Proficiency in R is a plus. Strong working knowledge of Mplus, in addition to at least one other general statistical package (e.g., SPSS, R, or SAS), is required
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible