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. Of particular interest is the investigation of compositional methods for constructing runtime monitors. The candidate will build on the latest advances in formal methods and learning theory, to develop methods
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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Infection Biology at the Department of Biology. Qualification requirements Applicants must have: A PhD in ecology or another relevant field Very good oral and written proficiency in English Formal training in
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academic potential Contact information (name, phone numbers and email) of two additional references Assessment Candidates will be assessed based on the following criteria: formal qualification requirements
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, and communicate with external stakeholders. You are motivated to fully engage in research that is formally owned by others. Practical experience in the development of biochemical methods, cell culture
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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background and interest in static and/or dynamic program analysis, programming language techniques, formal verification, or software engineering, excellent communication skills with sufficient proficiency in
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innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! We are looking for a PhD student in computer science specializing in formal