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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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developed with the supervisors within the first two months after enrolment. You must have a two-year master's degree (120 ECTS points in STEMS, with a preference in engineering, statistics, physics
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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of the following areas is an advantage: -sample preparation and liquid chromatography and mass spectrometry -DNA adductomics, metabolomics, or metagenomics -Data analysis, statistics and programming
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a
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mathematics and statistics. The department has about 55 permanent scientific staff members; around 60 PhD students and 35 postdocs. It has strong research groups in many areas, and active PhD, postdoc, and
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and statistical concepts Proficient in English for technical writing, oral presentations, and general communication Additional experience (preferred): Very good knowledge of XAI techniques Thorough
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with a wide range of data formats and engaging with data experts and database managers. The second major focus is advanced data analysis and statistical modeling to identify patterns in fish distribution