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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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optimisation, leading to a reduced part scrap rate. Build simulation tools that support the understanding of defect generation during forming. Identify state-of-the-art software and methodologies for modelling
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information, atomic theory and material modeling, with numerous partnerships both internationally and within Lund University. Being a doctoral student As a doctoral student, you are both admitted as a student
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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for the deployment of sustainable fuel production in Latvia, with emphasis on efficiency, scalability, and cost competitiveness; Developing integrated plant-level models and simulations to assess system performance
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designing, developing, and supporting training activities, preferable in health science education or higher education setting. · Management and programming of simulation models highly desirable Preferred
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must be fulfilled by the date of contracting. Preferential conditions: Preferential conditions are: i) skills and previous experience in the computational simulation of thermal and energetic performance
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nanostructures for photonic integration in smart vision systems. In particular, he/she will be responsible for the theoretical study and development of codes and numerical models for computer simulation and design
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Electromagnetic Dominance (ACED) technical thrust area. This position focuses on the design, simulation, prototyping, and testing of RF and microwave systems for defense, sensing, and communication applications
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learning and/or statistics, Linux Desired skills: strong track record of papers on whole brain modeling, experience working with EEG (and/or MEG), fMRI, MRI + DTI (including tractography), simulation-based