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/a-decorrer-bolseiros/ Work Location(s) Number of offers available1Company/InstitutePEdLab – Laboratory of Educational Practice, Artifacts, and Usability in Teaching and Learning, School of Education
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of AI4Quantum – Machine Learning for Quantum Simulation and Computing is looking for a PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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testing and validation. Experience in automated, scripting testing. Ability to communicate effectively with colleagues from these respective fields. Limited experience is required but fast-paced learning
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understanding of the interactions between sweetness and flavour intensity in frozen desserts. The successful candidate will gain a multidisciplinary experience, learning aspects of sensory evaluation
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Mathematics Learning Area at the Faculty of Education be an Australian citizen or permanent resident Consideration will also be given for applicants who demonstrate financial need – assessed by the completion
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of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
skills. Have very good knowledge of machine-learning and data science methods, especially for timeseries data Have very good programming skills in programming languages such as Python. Have previous
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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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using machine learning; Interpretation of soil profiles and moisture maps. Development and validation of digital tools: Support in building georeferenced web interfaces for data visualization