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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See
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UiO/Anders Lien 9th August 2026 Languages English English English Join Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in
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current and future ground- and space-based telescopes at radio through ultraviolet wavelengths, including major facilities such as the Square Kilometre Array (SKA), the Atacama Large Millimeter
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populations, galaxy evolution, supermassive black holes and high redshift galaxies. Current and future ground- and space-based facilities from the UV to radio are represented in our instrument development
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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research topic. It should contain. a short literature review, the research questions you wish to solve, the novelty, the methods, your current relevant skills and experiences with relevant software and
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approximately 3,000 students and around 500 employees, distributed across the faculty administration and six departments: the Department of Electrical Engineering and Computer Science; the Department
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, organize, and track tasks to meet deadlines while coordinating with team members. Basic proficiency with common computer applications and digital platforms, including tools used to promote and track service
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approximately 3,000 students and around 500 employees, distributed across the faculty administration and six departments: the Department of Electrical Engineering and Computer Science; the Department