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Field
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field #experience in quantitative assessments, including statistics and/or crop modeling #proficiency in programming languages for data processing and analysis #strong commitment to inter- and
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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constraints. This studentship is associated with the Healthy Low Carbon Transport Hub, a large multi-disciplinary research programme on the health co-benefits of low-carbon transport interventions led by
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reports unusual outcomes. Communicate all experimental outcomes clearly and concisely. Follow SOPs. Performs statistical data analyses and generates project reports with figures. Actively participate in lab
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, Bioinformatics, Epidemiology, Biostatistics, Biomedical Sciences, or related disciplines; Strong background in statistical modeling, and/or machine learning (any experience in multimodal AI is an asset); Previous
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Umeå University, Mathematics and Mathematical Statistics Position ID: 2216 -PHD13 [#26556] Position Title: Position Type: Other Position Location: Umea, Vasterbottens Lan 901 03, Sweden [map
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the NCO will consist of an extensive survey data collection on gender cultures in Dutch secondary schools. This dataset will be linked to register data from Statistics Netherlands (CBS). In the PhD project
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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position, you must meet the following requirements: Hold a relevant master’s degree or an equivalent higher education qualification in fields such as Computer Science, Artificial Intelligence, Statistics