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: structuring and processing the results obtained. Statistical knowledge is required (data mining, hierarchical cluster analyses, survival analysis, machine learning). Job profile You hold a master's degree
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behaviours of many species systems as a consequence of the interactions between the individual species (agents). Currently, these methods are more and more combined with machine learning techniques. BIONAMIX
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technical challenges. (5) You have an open attitude towards learning, and are driven, hard-working, committed to obtaining a PhD. (6) You have good oral and written communication skills, with fluency in
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analysis techniques that integrate mechanistic plant modelling with machine learning, translating sensor data into cultivation strategy actions to boost production efficiency. Additionally, DigiKas is
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scientific articles and a PhD thesis. You have solid experience with computer programming (such as Python/Julia/C/C++/etc.) including object-oriented programming paradigm You have good knowledge
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languages, such as, MATLAB Toolbox, LabVIEW, DaisyLab, AutoCAD, C++….. Advanced knowledge in sensing technologies and measurement systems. Advanced knowledge in machine learning, deep learning and data fusion
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must be equivalent to 5 years of studies (bachelor + master) in the European Union. You have a strong background in wireless and mobile networks and machine learning You have excellent coding skills
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Machine Learning Potential (eMLP), which reconciles these requirements in a unique way: it is not only fast and accurate, but also able to describe physical and chemical phenomena inaccessible to analogous
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fundamental and applied research in the domain of language and translation technology and has extensive expertise in the use of machine learning for a wide range of language technology problems, int.al
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, including patents and spin-offs. YOUR TASKS The Horizon Europe research project deCYPher will develop a standardized platform to profoundly implement artificial intelligence and machine learning techniques