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Field
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to analyse online disinformation, near-real-time social media streams, network actors, and legal/regulatory responses. Translate insights into domain logic, training data, and algorithms to develop an AI
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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algorithms. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation
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, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
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computational biologist to collaborate with a multidisciplinary team to develop innovative computational algorithms and approaches to address crucial questions in cancer biology. The role will involve
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wide-field surveys (ZTF, LSST, Argus). • Develop algorithms for low-latency multi-messenger searches combining gravitational-wave, gamma-ray-burst, fast-radio-burst, and optical detections. • Make
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connections. The project will have theoretical and algorithmic developments, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a
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Engineering & Applied Physics Program. This position covers AI hardware with a focus on quantum computing, quantum communication, quantum sensing, and quantum simulation. The successful candidate will develop
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with algorithm software development and user interface design. Key Responsibilities: Collect relevant traffic data from several resources, working with industrial collaborators. Carry out necessary data analytics