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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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partners. Strong applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr
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, such as statistical AI (machine learning), symbolic AI (knowledge graphs, reasoning), and human computation (crowdsourcing). By analyzing empirical evidence of human interactions with data and systems, we
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, robotics is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra
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, continuous culturing, and working with DNA- and RNA-based technologies to study microbial communities; excellent oral and written communication skills in English; affinity with bioinformatics and statistical
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(MSc) record in microbiology or equivalent; expertise in microbial cultivation, working with DNA- and RNA-based technologies to study microbial communities; affinity with bioinformatics and statistical
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economics; proficiency in statistical software is strong asset; good analytical and communication skills, both verbal and written; fluency in English. We offer you Wageningen University & Research offers
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language proficiency that fits this target group, or affinity with the target group, is a plus. Besides, experience with statistical analyses (e.g., in SPSS and/or R) and writing scientific publications
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; study design; multidisciplinary analyses (e.g. Genetics, Behaviour, Isotopes); statistical analyses; academic writing. The project is supervised by Dr Lysanne Snijders (Behavioural Ecology group) and Dr
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strong background and solid hands-on experience in experimental analytical methods, data processing, and statistical analysis; a strong interest (or preferentially: experience) in spectroscopy, microscopy