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strong competences in ecology, excellent analytical skills, and proficiency in R (or equivalent). Experience within one or more of the following areas is advantageous: insect ecology, species distribution
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial
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providing them with all capabilities to become leaders of tomorrow's R&I in Europe. Project description The successful applicant will join a multidisciplinary EU-funded Marie Skłodowska-Curie International
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with
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programming languages such as Python, R, or similar. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree in Operations Research, Computer Science, Mathematics