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to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a related field. The
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research, - a high degree of autonomy and creativity in problem-solving, - openness to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects
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to sectors such as Geographic Information Systems (GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: Definition of reusable models and components
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
/video processing, or multimodal data, · ability to read and implement research papers, · experience with the Git version control system, · experience with Linux operating systems and working in Bash
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scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes
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, production and emissions, ensuring data integrity and adherence to agreed procedures Select and apply appropriate data cleaning, representation and validation methods Conduct statistical analyses and model
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evaluating carbonation and chlorides being valued; d) knowledge in statistical data analysis, with experience using mixed linear models being valued; e) knowledge in data processing and presentation using
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candidates will be technically proficient in immunological techniques and provide evidence of research productivity. Prior experience with flow cytometry and in vivo mouse models is advantageous, though not
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
associated with genome editing. 4) The translation of the developed genome editing reagents to clinical application through in vivo safety and efficacy studies in relevant mouse models. These studies will