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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
recovery. The main objectives of the project include: Developing an open, scalable, and modular Digital Twin architecture. Enabling accurate, high-resolution forest mapping using advanced sensing techniques
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areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling
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, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI
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responsibilities in the project. Develop digital twins of the detailed electrical power system architectures of various e-vessels based on the concept design in real-time simulation environment such as OPAL-RT and
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, software development, and research experiments. Contribute to the development of working prototypes and demonstrations for mobile biometric systems utilizing federated learning architectures. Prepare
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Architecture, Marine Engineering, Mechanical Engineering or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS/Star CCM/Fluent/Open Foam etc.) and finite element analysis software (e.g
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Qualifications Research experience with unsupervised and weakly supervised CNN and RNN architectures such as GANs, contrastive Learning, multiple instance learning, and transformer models Experience with