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Field
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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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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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autonomy, in microscopy techniques such as live-cell imaging; Good analytical skills, critical thinking, and problem-solver mindset; Knowledge of Python programming language; Excellent oral and written
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Python, PyTorch or TensorFlow) and practical experience with generative models (e.g. LLM, diffusion models, GAN); Ability to conduct independent research and work in a team, including a willingness to
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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information on eligibility requirements. The position requires: The applicant must have strong skills in Matlab or Python -based programming and must be willing to expand their Matlab skills Knowledge about
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have