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Field
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machine learning assisted analyses of epigenetic markers to identify specific cellular subsets linked with disease progression and therapy response. Accordingly, a key aspect of your work will involve
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Job Type: Full-time, PhD program (x4 years of funding) Number of positions: 4 The School of Collective Intelligence (SCI) - Mohammed IV Polytechnic University (UM6P, Morocco), is seeking highly
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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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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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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) Hold a MSc degree in Electrical and Computer Engineering and meet the conditions to be enrolled on cycle of studies leading to the PhD degree or in a non-degree course; If the required academic degree
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analysis using deep learning algorithms Detecting anomalies and dependence structures in high dimensional, high frequency financial data During the project, the PhD students will closely collaborate 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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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 1 month ago
developed by MaIAGE partners (e.g. Omnicrobe application*, Ontobiotope ontology*, extraction workflow). Expected results:The PhD student will design and evaluate original machine-learning-based methods
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actively encouraged. The precise scope of the research project of the PhD student will be decided between the appointee and the PI after the candidate has been appointed. The appointee should have