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project, you will design and implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and
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problem-baseret læring og projektarbejde(PBL). Ansøgere kan orientere sig om semestrenes faglige indhold på: https://studieordninger.aau.dk/Kommunikationogdigitalemedier-Bachelor-Aalborg-Dansk
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will be the development and demonstration of a “fast decision machine” that can provide a qualified basis for early decisions concerning future aseptic production. You will plan and carry out your
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Aalborg University | Witwatersrand Native Labour Association Dam, Mpumalanga | South Africa | about 1 month ago
, Aalborg University and Aalborg University Hospital and works primarily with methodological development and application of bioinformatics, biostatistics, machine learning, and data management within
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specified in the final advertisement. The position is specifically located at the Life Cycle Sustainability (LCS) group. https://www.en.plan.aau.dk/research/life-cycle-sustainability Qualification
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interdisciplinary or problem-oriented research and innovation and have impact in the wider world. For more information about the research group, please see CLD’s website: https://www.dcc.aau.dk/research
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Professor René Bødker Christensen and Assistant Professor Jaron Skovsted Gundersen . CLASSIQUE is a cross-departmental Centre of Excellence bringing together researchers from electrical engineering
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individuals, communities, and cultures that make us who we are. We’d love to have you join us! Read more about the department here: https://www.en.bio.aau.dk/ Qualification requirements Appointment as
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experience in machine learning, where experience in natural language processing (NLP) is highly desirable. • Experience or education in health data science or a health-related field is a plus. • Good
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field