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We welcome applications for a postdoctoral research position in nonequilibrium statistical physics and condensed matter theory within the research group led by Matthias Geilhufe at Chalmers
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, computer science, statistics, artificial intelligence, data analytics, biomedical engineering or allied subject areas. Research expertise in statistics, machine learning, deep neural networks, time-series analysis
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of statistical modeling of time series and discrete-time data - knowledge in AI and machine learning - good programming skills in MATLAB, Python, R, etc - Scientific publications in high-impact international
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, both verbally and in writing. Applicants should have experience and expertise in quantitative methods and advanced statistical analyses (e.g., structural equation modelling, multilevel analysis). It is
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, both verbally and in writing. Applicants should have experience and expertise in quantitative methods and advanced statistical analyses (e.g., structural equation modelling, multilevel analysis). It is
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: - Experience with wireless communication networks - Knowledge of information theory and/or statistical learning theory - Experience with python machine-learning libraries Contract terms This postdoc position is
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for teaching. Qualifications To qualify for the position of postdoc, you must hold a doctoral degree in electrical engineering or computer science, with specialization in statistical signal processing, wireless
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of experience in genetic research both in Sweden and internationally Expert knowledge of genetic- and statistical analysis including analysis of GWAS-data Experience of genetic risk prediction model development
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processing, spatial analysis, statistical analysis, and visualization of urban environments, knowledge of programming in one (or more) of R, Python, SQL, and the use of Github or equivalent. You must also have