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in authorship on publications and opportunities to present work at local, national, and international meetings. The successful applicant will have coding experience (i.e. in R, Python, or other
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on control Experience in collaborative and international projects Experience/knowledge in HIL systems
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on cybersecurityl Knowledge and experience on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability
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part of change This position is part of the PhD project under Horizon Europe MSCA Doctoral Networks "FOCAL" (https://cordis.europa.eu/project/id/101169042 ): Architecture design and effective routing
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Python and the Flask framework to support data access, visualization, and interactivity; (iii) designing, maintaining, and documenting robust back-end systems for indexing and retrieval of complex datasets