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- 
                Field
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                : At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch 
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                . The following skills are highly desirable but not essential: Ability to program in Matlab/Python Experience with Finite Element Analysis and Reduce Order Modelling Experience in Rapid Prototyping and CAD Design 
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                of deployment and management of the support infrastructure for the conversational assistant platform and related ETL systems. Build and maintain CI/CD pipelines for models and backend services (Python, Node.js 
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                . Good programming skills (e.g., C/C++, Java, or Python) and experience in (or an interest in working in) the area of cybersecurity while conducting practical research. Software reverse engineering (Frida 
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                experience Skills in using GEANT4/ Python/ LaTeX/ C++/ ROOT(CERN)/ Linux/ Monte Carlo simulation LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research 
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                on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques 
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                of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and 
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                . Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5 
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                , laser physics) Fundamental programming skills and expertise, e.g., Python, Julia, C/C++ Willingness to work independently and contribute to lidar soundings during nights/weekends in accordance with 
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                . ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas