539 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions
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delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
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Security, Alliance Politics, Deterrence, Military Strategy, Military Affairs, Intelligence, Nuclear Security, Nuclear Strategy, Arms Control, Nonproliferation, Weapons of Mass Destruction, Terrorism
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, Military Affairs, Military Strategy, Intelligence, Nuclear Security, Nuclear Strategy, Arms Control, Nonproliferation, Terrorism, Counterterrorism, Cybersecurity, Emerging Technologies and Security
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric
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that are deeply grounded in stochastic analysis and show also development of computational methods towards machine learning. The projects will focus on applications to risk-sensitive decision making and control
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue