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Field
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Flow Cytometry (intra, extra-cellular); • Design of spectral flow cytometry multicolor panels; • Documented expertise in advanced flow cytometry analysis software (FlowJo), including high dimensional
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reviewed scientific publications. Your profile PhD in Computer Science, with specialization on applied machine learning, statistical methods, and/or software engineering Strong programming skills Strong
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PhD research and training environment. It is committed to supporting its internationally recognised researchers and to producing the next generation of talented social scientists. SENSS has been
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areas and topics that include symbolic AI and formal methods (logic, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc
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desirable Good knowledge of the Luxembourgish social sector as well as the structures of non-formal education in Luxembourg is an asset Proficient in data processing and analysis software (e.g., Atlas.ti
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will join the research group on non-formal education at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research centre
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an assistant that offers real-time feedback and recommendations without disrupting agile development? Objectives The PhD will develop the ReqSecDes framework by combining AI-driven extraction and formalization
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, United States of America Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided Reasoning
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over the next five years (regjeringen.no ) (in Norwegian). Your immediate leader will be the leader of the Software Engineering unit . About the project This PhD fellowship is part of the national AI
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research methods. The department offers a vibrant academic environment with a good mix of permanent staff, postdoctoral and PhD fellows. Around 1400 students are currently enrolled at BA, MA, and PhD level