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, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research fellowships starting in 2026/2027. The PhD candidates will be embedded
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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protocols such as HTTP, SSL, SSH, JMS, JDBC, REST API, etc. Open source technologies such as Dockers, KVM, and Python Version control systems such as GitHub Typical Activities: Build and release management
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departments and institutes in developing, submitting, and managing complex training grants—including NIH T32, T35, F31/32, K12, NSF training mechanisms, and foundation-sponsored programs. The Director serves as
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, troubleshoots, resolves and/or escalates basic and more complex data, network connectivity, client/server processes and application issues according to established policies and procedures. • Maintains operational
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(Conservation Heritage Architecture, buildings and sites by Resilient Methods: hydro-climate factors), financed by European Research Executive Agency under action HORIZON MSCA Doctoral Networks. This project aims
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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negotiations. Experience leading supply chain operations within a complex healthcare environment, preferably an academic medical center or multi-hospital health system. Experience developing and implementing
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
and troubleshooting of technical problems in audio, video and network equipment. In addition, the incumbent will respond to complex inquiries (phone/email) from internal departments and outside
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 month ago
of EMS systems. Direct-field experience with local, state and federal EMS programs. Progressively graded medical control responsibilities for complex EMS systems with acquired proficiencies in fire-based