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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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, Statistics, or Geography ;Strong proficiency in Python is required ;Knowledge of remote sensing, GIS, and Copernicus data is a plus ;Excellent command of English.LISER particularly encourage female
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skills (e.g. Python, R, Unix) are also highly desired, but not required. Prior experience managing teams of people and/or an interest in psychological and neurobiological changes across adulthood is also a
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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this role, we are looking for candidates to have the following skills and experience: Essential criteria A working level knowledge of R and/or Python Some experience in independently designing a research
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, Python) Very good written and spoken English skills What you can expect There is the possibility of a PhD. Cooperation with national and international partners. In our institution you will find a
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Skills: Proficiency with ArcGIS, MATLAB, Python, R, and MS Excel. Experience with agricultural and construction equipment. Knowledge of load securement and driving large trucks and trailers. Please include