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involved in related research projects. Collaborate with research partners and support laboratory activities. Job Requirements: PhD in Materials Science and Engineering, Metallurgy, Mechanical Engineering, or
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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machine learning (Dr Iñaki Esnaola, Electrical and Electronic Engineering) and advanced machining research (Dr Javier Dominguez-Caballero, AMRC Machining Group), with direct technical support from
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Graphics: https://www.jku.at/cg Your Qualifications: The successful candidate must hold a Diploma/Master’s degree in a corresponding discipline (computer science, mathematics, engineering or related) or have
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, test and measurement methodologies for electronic modules, system engineering, data pre-processing and database indexing/analytics for dashboarding/visualisation, embedding machine learning algorithms
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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engineering applications at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education on advanced machine learning methods and AI. The Section for Cognitive Systems
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Requirements Student enrolled in a PhD programme in Electrical and Computer Engineering Selection process Contest Evaluation Method(s) Curricular evaluation weighted to 50% on a scale of 20 points with a minimum