16 algorithms-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions at Nature Careers
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algorithms. The targeted starting date is 1 September 2025,or as soon as possible thereafter. Project description This project will explore the algorithms, advantages, and applications of quantum computing
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory
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nationalities represented in our workforce Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions
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. And it also allows you to operate multiple silicon carbide quantum systems in parallel, for the first time. (c) The final step is to demonstrate on-chip entanglement among two colour centres based
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require the ability to craft research protocols, supervise, and/or train other research staff or students. Key Responsibilities/Duties 1). Conduct research and independent development of multiple projects 2
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candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical