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clinical practitioners into researchers who understand and use multiple methods to answer important clinical questions. The start of the fellowship is 1st August 2027. Where possible a 6-month preparatory
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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meaningful explanations when unexpected situations arise. We plan to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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respond to prospective student questions. The recruiter will follow up with prospective students by phone, email, text, and other approved methods; assist with admissions applications; and connect students
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii
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sequencing, proteomic, and multiomic methods to understand the molecular make-up of human dorsal root ganglion cells and human spinal cord cells. This is a grant funded position, and continued employment is
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of microfluidics in the aforementioned demanding fields. This project aims to find methods to eliminate these urgent packaging issues. As the demand for advanced ventilators and multi-infusion systems grows, finding