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of this work are to 1) develop a more complete understanding of proteomic changes in postmortem muscle and 2) utilize machine learning techniques to predict fresh meat quality based on proteomic, metabolomic
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these CSRS spectra by machine learning algorithms. Your mission is to set up and characterize backscattering CSRS microscopes and evaluate their functionality on cancer tissue. Your tasks will include
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. Novel spectrometer concepts, multi-focus and wide-field illumination approaches will be put in place. Precise diagnoses of cancerous tissues will be derived from these CSRS spectra by machine learning
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privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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benchmark sparse training methods to scale up deep learning. Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine
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(multiple omics, NGSeq, Neuroimaging, text data) with Machine Learning and AI techniques. He actually leads a group with 4 PhD students (1 ITN PhD student) 3 PostDoc Students, and 3 Research Assistants, with
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(multiple omics, NGSeq, Neuroimaging, text data) with Machine Learning and AI techniques. He actually leads a group with 4 PhD students (1 ITN PhD student) 3 PostDoc Students, and 3 Research Assistants, with
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This job advertisement concerns a PhD study, which will focus on Brain computer interfacing and Tongue computer interfacing for computer control and it will be based at Center for rehabilitation
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. Publish and present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of