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Field
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the organising principles of biological information processing, focusing on the underlying physics of computations and sensory environments. This exploration has led to developing models and advanced statistical
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to psychological and clinical measures and outcomes, epidemiology, statistics, and bioinformatics. Work in an environment of scientific excellence and interdisciplinary collaboration IMPRS-TP is a joint initiative
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Master in Experimental Psychology, HCI, UX or related fields Experience with research methods in social sciences (e.g., empirical research, experiment design) Experience in statistical methods is
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for empirical statistical analysis, as well as possible experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with databases
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-average university degree in psychology, human factors, or a related field good knowledge of methods and statistics, especially quantitative approaches strong interest in research good English skills
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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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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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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state-of-the-art skills in health statistics and data analysis. The study focuses on enhancing the interpretability and precision of NF scores by developing normative ranges and clinical thresholds