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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 
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                LevelMaster Degree or equivalent Specific Requirements Research Grants (BI): Are intended for carrying out R&D activities by students enrolled in a doctoral program, aiming to consolidate their scientific 
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                good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness 
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                machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g 
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                2025-10-other-visiting-bft. Deadline for applications is October 17th, 2025. Review of applications will begin immediately. The recruitment process will comply with the IMDEA Software Institute’s OTM-R 
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                equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health 
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                Protection." Selection process The recruitment procedure will be conducted in accordance with the principles of Open, Transparent and Merit-based Recruitment (OTM-R), as adopted by the Warsaw University 
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                trustworthy ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and 
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                are looking for an enthusiastic individual with a degree in a quantitative discipline. Experience of geospatial analysis (with GIS) is essential and programming with code (e.g. R, Python) would be advantageous