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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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research stay. Publish in peer-reviewed journals and present your findings at international conferences. Contribute to teaching and supervision of MSc students Contribute to the daily operations
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file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale Short
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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of results Completing the required PhD school courses and conducting an external research stay Teaching and supervision of MSc students Desired qualifications and skills: Curiosity and high motivation
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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mathematics. A MSc degree in mathematics or a related field with strong mathematical content must be obtained before the starting time. Other desirable skills (but not required): Background in quantum computing
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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
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in