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intelligence. Strong knowledge and research outputs in AI, particularly in the field of deep learning, knowledge representation and reasoning, or neuro-symbolic AI. Proven commitment to proactively keeping up
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questions in cancer biology. Learn more about Dr. Bild’s lab here. As a successful candidate you will: Build probabilistic models of tumor dynamics from serial ctDNA and tissue samples. Develop deep learning
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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for roughly 3% of global CO₂ emissions, and with international pressure to decarbonize hard-to-abate sectors, nuclear propulsion is emerging as a serious candidate for deep-sea and high-utilization vessels
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setup, validate results using electrophysiological recordings, apply deep-learning approaches to analyse noisy data, and disseminate your findings through publications. The team – You will work with the
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, presentations, and final project reports. How to Apply: To be considered for this position, please provide your resume and a cover letter outlining your responses to each of the selection criteria below: A PhD in
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UiO/Anders Lien 3rd July 2026 Languages English English English PhD Research Fellow in Active Learning for Arctic observing systems Apply for this job See advertisement About the position Position
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for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI-funded fellow
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under internal company contract and in external collaborative projects etc. Key Qualifications: PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply