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Fraunhofer Institute for Wind Energy Systems IWES | Bremerhaven, Bremen | Germany | about 2 months ago
... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 22 days ago
systems that simulate and model human behaviour in immersive environments. Integrate psychophysiological data (e.g., EEG, EDA, EMG) into interactive digital applications for experimental and clinical use
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- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
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communicate research results through excellent written and oral communication skills in English? Then do not hesitate to apply! Experience with reservoir simulation, heterogeneous heat storage modelling, energy
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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-42-2025)", accompanied by the following documents: Curriculum Vitae, copy of degree certificate, driver’s license, motivation letter, reference letter, and other relevant supporting documents
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simulation, heterogeneous heat storage modelling, energy systems modelling, techno-economics is considered a plus, but we can are happy to provide support on these aspects! TU Delft (Delft University
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative