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, Django, FastAPI, or Streamlit) Experience deploying applications to cloud platforms (e.g., AWS, Azure, or GCP) Experience with API integration and working with external data sources Desirable Criteria: PhD
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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segmentation, normalization, and feature extraction in the time, frequency, and time-frequency domains. 4) Development and training of machine learning and deep learning models (such as SVM, Random Forests, CNN
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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish
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design online or in-person cybersecurity courses in topics such as AI and Machine Learning in Cybersecurity, Threat Hunting & Incident Response and Data Privacy & Protection. Qualifications: Master’s
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of the School, exceptional potential for leadership in research and education, an ability and willingness to teach at all levels of the program, and a PhD in operations research, mathematics, statistics, or a
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of translating our insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi