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. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
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techniques (e.g., filter-based, morphological, and statistical methods) with machine learning approaches Collaborate with interdisciplinary teams, ensuring seamless integration of image analysis with
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, environment, society and health as well as health systems and interventions. The Department of Epidemiology and Public Health (EPH), within Swiss TPH, develops and applies epidemiological, statistical and
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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, serving as a basis for statistical evaluations of stone formats, brick bonds, and the like. Where applicable, you also perform geometrical analysis of vault geometries and traces of formwork. You interact
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statistical skills, ideally using R Well structured and organized working style, good communication skills Knowledge of two official Swiss languages and English We offer Working for Switzerland We are committed
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process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical engineering
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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in RL Transfer learning in multi-task bandits and RL Statistical or generative decision making The exact project scope will be tailored to the candidate's strength and expertise. The candidate is
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strong background in statistics and experience in organizing and conducting scientific field campaigns are essential. You bring experience in collaboration in international and interdisciplinary research