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; Parks, Recreation, and Tourism; or related fields. Proficiency in data management and visualization tools (e.g., Excel, Power BI, R, SPSS, or Stata). Mixed-methods research experience (qualitative and
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming skills (Python, R, Java, …) and interest to work in polyglot software
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geospatial analysis in R, alongside advanced modelling with JULES. Co-supervisors in Brazil will provide field and logistical expertise, while the Met Office will offer world-class training in modelling and
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. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
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-costs/ https://www.numbeo.com/cost-of-living/in/Ceske-Budejovice BC CAS researchers recruitment policy: https://www.bc.cas.cz/en/employees/candidates/otm-r/ How to apply: Please submit a professional CV
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 17 days ago
for Researchers and the Code of Conduct for the Recruitment of Researchers, i3S adopts the Open, Transparent and Merit-based (OTM-R) principles for the recruitment of researchers, with the aim of conducting fair
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, public health, statistics, or a related discipline; or a master’s degree with relevant research experience; Proficiency in data analysis using statistical software such as SPSS or R; Strong analytical
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experience in soil organic matter dynamics and stability and/or related to soil fauna Previous experience in statistical analysis of data, preferably in R Previous experience in biomarker extraction and gas