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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fondo IPCEI ME/CT – Microelectronics - Continuation ID: IPCEI-M2 0000006
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“NNZA: Decarbonisation of data centres using novel thermochemical technology” is funded by the Engineering and Physical Sciences Research Council (EPSRC) Northern Net Zero Accelerator (NNZA) Program. The
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of organic and inorganic molecules encapsulated inside 2D materials. As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate
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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
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Colosseum, Arena, and the testbeds in the Platforms for Advanced Wireless Research program. Successful candidates must have expertise in areas including wireless networks, 5G and 6G, IoT, network security
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Full time, fixed term position for 3 years Collaborate with leading academics and researchers and build your academic networks Base Salary $109,263 - $121,054 + 17% superannuation About the
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks