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outlook and good communicative skills required to collaborate in a multidisciplinary team demonstrable experience with scientific programming, e.g. in Python, Julia or R proficiency in spoken and written
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- Practical experience in working with RNA (RNA extraction, RT-PCR, RNA sequencing) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant
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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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. Candidates should be able to independently conduct statistical analyses in R, be able and willing to conduct fieldwork in the Swiss Alps, and have knowledge in plant species identification. Prior experience
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of results: In all R&D activities carried out under the grants, the financial support of the respective Funding Programme must be expressly mentioned, including in all communications, publications, scientific
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career in R&D or academia? Then we have a great opportunity! We are looking for a highly motivated and skilled candidate with a master’s degree in STEM disciplines to join us as a PhD scholar. We offer a
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and
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Biophysics of DNA Repair Nanomachines” Research Group, led by Prof. Fernando Moreno-Herrero is looking for a PhD student (4 years FPI contract) to join his project funded through the program of R&D activities
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quantitative skills (e.g., R, stock assessment models, statistical analysis). • Proficiency in English and French (Tahitian a strong asset). Place of work: Umeå Forms for funding or employment: Employment 4
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and