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Statistics (Ref: FST241106) Job Description Candidates with expertise in one or more of the following areas: Linear Algebra, Calculus, Statistics and Probability, Regression Analysis, Multivariate Analysis
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, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
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within the PhD trajectory? You can read more about this on this page . Your work includes: development and application of image-processing pipelines; multivariate modelling using network analysis and
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size and density approaches. Demonstrated experience in infrared spectroscopy of soils and use of multivariate statistical models to predict soil properties. Experience in process-based models
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Experience designing, administering, and analyzing surveys using tools such as Qualtrics Excellent skills in quantitative and qualitative analysis, including multivariate statistical methods Experience working
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statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and related in space and time and to behavioral events. Core Tasks: Getting familiar with
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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valorization and pilot process design is a strong asset. Proven publication record and project involvement. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics
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-solving abilities. Strong written and oral communication skills in both English and French. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During