10 Statistics "University of California, Santa Barbara" Postdoctoral positions in Sweden
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics seeks a postdoctoral researcher who will work with
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics and Mathematical Statistics seeks a postdoctoral researcher who will work
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researcher will be based at the Division of Psychology , Department of Clinical Neuroscience, Karolinska Institutet. The postdoctoral researcher will mainly work with data collection, statistical analysis
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communication and writing skills are required. Ability in the use of statistical analyses/bioinformatic tools will be highly pondered. Processing The employment is prepared in accordance with Mittuniversitet's
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. Research experience of working with community data or molecular data is meriting. Good knowledge of statistical analyses and R (or equivalent programming) along with a strong publication record (in relation
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the subject area. The candidate is required to have a Ph.D. degree in a relevant area, and expertise in quantitative research design and statistical analysis, preferably in neuroscience, biomedical engineering, or
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in MatLab, R, Python, or other programming languages for data analysis and/or model implementation, are required. For area 1 and 2, documented expertise in statistical analyses is required; experience
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implementation, are required. For area 1 and 2, documented expertise in statistical analyses is required; experience in collating and analyzing large datasets is meriting. For area 2, experience in analyzing
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is meriting. Good knowledge of statistical analyses and R (or equivalent programming) along with a strong publication record (in relation to the time since dissertation) is meriting. Important are also
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, simulation-based studies, and spatial genetic analyses will be highly regarded. Additionally, a background in mathematics, computational methods, and statistical training will be advantageous. Demonstrated