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psychophysics and statistics Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference
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, acoustics, cognitive (neuro)science, or a related field Expertise in auditory perception. Experience with visual or multisensory perception is a plus. Good command of psychophysics and statistics Good command
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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, scipy, scikit-learn, pytorch, pytorch geometric, etc.). Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance. Software
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science. Your competencies PhD in computer science, statistics, data science, or a closely related field. Expertise in probabilistic machine learning, optionally generative and Bayesian models. A strong
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal