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with deep-learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species (read [1] to learn more about the ideas behind
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at UMass Boston is a vibrant and collegial group of faculty with research interests in Artificial intelligence, Data Science, Bioinformatics, Neural networks and programming languages, and significant
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analysis, chemometrics, neural networks, classification or regression models); familiarity with large language models (LLMs) and other artificial intelligence techniques is valued; b) Experience in
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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determines observables of the replication program such as the Mean Replication Timing (MRT) and the Replication Fork Directionality (RFD) profiles. We proposed a strategy to train a neural network to infer
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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neural network have been demonstrated using a single device. The main mission of this postdoc project, financially supported by IMITECH project, is to develop reservoir computing function based on a
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: an excellent Master degree in Computer Science, Artificial Intelligence or a related discipline a background in both the theory and the implementation of neural networks (for instance, transformers, CNNs) and/or
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, neuromorphic electronics based on spiking neural networks (SNNs) and the compute-in-memory (CIM) paradigm is emerging as the most promising path. While the research community has so far favored resistive Compute