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subject : The MIXAP-EU project (MIXed reality authoring APplications for and by teachers in EUrope) is a partnership of researchers and professionals aimed at supporting practising teachers in the creation
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to preserve the internal charge and handle the output signal of the RE (buffering function, polarity and gain adjustment). More precisely, a new embedded analog system will be developed, tested and evaluated
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neuroscience or signal processing. - You have good communication skills in English (speaking French is not a requirement). Research environment: Research will be conducted at the Institute for Neurosciences
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scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Profile: Doctorate in Computer Science or Image and Signal
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live in. Your role Conduct research related to the topics of the Signal Transduction Laboratory Participation in teaching activities at Bachelor and Master level (Co-) Supervision of master and PhD
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developed for GaAs-based heterostructures, to the new germanium-based material system. His/her work will include the fabrication of quantum point contacts, quantum dots, and quantum interferometers as
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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, Luxembourgish and / or French will be considered an asset Interest in empirical social research, excellent command of quantitative and / or qualitative empirical methods; openness to mixed methods research
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological