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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 5 days ago
or Video Games or Psychology or related fields. Participation as a researcher in funded R&D Projects. Minimum of 4 scientific articles published as "Author” or “co-author" in indexed scientific journals with
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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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, accessibility, or universal design. Experience with AR/VR tools, programming/coding (Python, R, Unity, or JavaScript), or community-engaged research. Experience working in interdisciplinary teams and multi-site
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or conferences Additional information / Funding This position is funded through the 2024 call for R&D project grants carried out in collaboration between research groups from universities and research
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. Preferred Qualifications Knowledge of aging-in-place, accessibility, or universal design. Experience with AR/VR tools, programming/coding (Python, R, Unity, or JavaScript), or community-engaged research
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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posting on the bulletin board and the institution’s website. Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python; Multifactorial experimental designs