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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
/Check. Eligibility criteria Admission Requirements:To be enrolled at a PhD. Selection process Selection methods: The selection methods will be the following: Curricular Evaluation: 60%; Inteview: 30
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are offering an exciting
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technology. The successful candidate will provide research and development (R&D) leadership to the group that strategically advances science and technology focused on gas testing of prototype enrichment
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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funded PhD project offers the opportunity to investigate how the molecular motor myosin VI (MVI) contributes to DNA repair processes and cancer therapy. Transcription and DNA repair both require dynamic
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such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science
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required for demonstrating operation at TRL 4. Perform experimental characterization of prototype performance, including measurements related to optical efficiency, structural stability, tracking accuracy
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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Requirements Additional Information Eligibility criteria For admission to the selection process referred to in Art. 1, potential candidates must fulfil the following requirements: a) PhD; b) Possession of a