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available1Company/InstituteInriaCountryFranceGeofield Where to apply Website https://illbeback.ai/job/phd-position-f-m-machine-learning-for-efficient-bimoda… STATUS: EXPIRED
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of Inria and will be supervised by Nikolaos Georgantas ([email protected] ) and Maroua Bahri ([email protected] ). Mission confiée Automated Machine Learning (AutoML) is an approach
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://illbeback.ai/job/phd-position-f-m-campagne-welcome-package-learning-rob… STATUS: EXPIRED
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, including expertise with frameworks such as PyTorch. - Advanced knowledge in Machine Learning and Pattern Recognition. - Expertise in BioMedical Image Analysis. - Strong foundation in applied mathematics and
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facial expressions and modifications in speech patterns using NLP and machine learning techniques. This will be achieved by analyzing video recordings of multiple patients, with each recording annotated by
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cluster computer system to realize big-data analysis and simulations. Mission confiée Context of the project Artificial Intelligence (AI) and especially Deep Learning (DL) have undergone many successes in
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. To make deep learning algorithms efficient in real life it is important to combine software and hardware optimization when creating new deep learning algorithms. During the PhD we plan to propose novel
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within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project
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, includin advanced distributed sensing on autonomous swarms of mobile robots. The goal of this PhD is to explore that opportunity. One challenge is that the connectivity between such embedded devices is lossy
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, still energy efficient. Compétences Required technical skills: Good knowledge of computer architectures and embedded systems Machine Learning (pytorch/tensorflow) HW design: VHDL/Verilog basics, HW