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partners. Applicants should fulfil the following requirements: A master’s degree in engineering or science, with a focus on computer/data systems, energy technology, software/hardware, information technology
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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? What are the optimal hardware-software architectures for deploying the above methods, test and validate the model? Applicants should fulfil the following requirements: MSc either in biomedical
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ECUs are reshaping how connected and autonomous vehicles are designed and validated. The focus is shifting toward creating high-fidelity virtual ECUs that support software-defined vehicle architectures
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software and experimental validation setups Opportunities for international conference participation, research exchanges, and networking with well-known uni- versities and research centers Active
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techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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software, polymer technology Additional Information Work Location(s) Number of offers available1Company/InstituteTallinn University of TechnologyCountryEstoniaGeofield Contact State/Province Harjumaa City
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initiatives (incl. Singapore and Barcelona). Research field: Information and communication technology Offered by: School of Information Technologies. Department of Software Science Description Supervisor
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software features over the creation of new code libraries, making circular economy tools accessible to professionals with lim- ited IT resources. By piloting the framework in urban living labs, the study