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or a related field, with an interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python
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degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage
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with the following competences: Master's degree in information Engineering, computer science, cybersecurity, software engineering, or related fields Strong programming skills (e.g., Python) Strong
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, Control Engineering, Computer Science, or a closely related field, with a strong foundation in robotics, autonomous systems, planning, and/or control theory. We particularly value strong programming
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and Sound. Your teaching will span courses from bachelor to master level and will typically cover topics such as machine learning, deep learning, computer vision and programming. You will supervise
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in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety
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content of the programmes is available here: https://www.aau.dk/uddannelser/bachelor/kommunikation-og-digitale-medier-aalborg , https://www.aau.dk/uddannelser/kandidat/informationsvidenskab , https
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HYSYS or other related software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på
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interests. Scientific dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the