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. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may
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machine learning and other statistical methods.All work will be carried out in a collaborative research team, requiring the sharing of expertise, open discussion of results, and the facilitation
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, epidemiology, or public health. The PhD must be completed no later than the time the employment decision is made pedagogical ability Strong skills in statistics and experience in data analysis using relevant
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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particle, and astroparticle physics by applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from
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single-cell RNA-seq data (specifically, on remote Linux-based computational clusters). The successful candidate will possess a good grasp of statistical analysis and complex data visualization, and
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undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative
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, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine learning, AI, or statistical modeling. Proven
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(ImageStreamX MkII), acquiring data and developing novel analysis strategies. The project involves project management, laboratory work, data analysis and statistical processing, and manuscript writing. Where
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applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from the theoretical modeling of systems and phenomena