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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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to succeed in performing experiments in the laboratory. Ambition to disseminate the results of your research by participation to conferences and publishing in research journals. Strong analytical and
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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong
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. You will carry out a limited number of teaching and research support tasks for the department Medical Microbiology, Vaccine & Infectious diseases institute of the faculty of Medicine and Health Sciences
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver