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Programme? Not funded by a EU programme Reference Number AE2025-0575 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of BEST-VS is to study the
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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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sources and to produce high-value metabolites that are difficult or impossible to obtain with conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining
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parallel project into microbial consumption of hydrogen in the subsurface. Both departments are part of the Faculty of Science and Engineering at The University of Manchester, which hosts world-leading
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description IDIBGI is looking for highly motivated and ambitious CANCER