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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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brain disorders like schizophrenia, alzheimer, and depression disrupt brain function. Genetic discoveries point to thousands of disease-associated SNPs, but most of them act in subtle and cell type
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industrial partners. Its aim is to develop and apply foundation models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge
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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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experience relate to the project. Highlight your experience in modelling, signal processing and neural data analysis. The studentship code BI095 in the ‘Studentship/Partnership Reference’ field When prompted
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for mitigation and adaptation measures tailored to each specific context. Applicable law and regulations The call for applications and hiring process are governed by the provisions of Regulation no. 487/2020
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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, considering discrete modulation; Contribute to the implementation of digital signal processing algorithms in a FPGA platform; Contribute to the implementation of information reconciliation algorithms in a GPU
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 1 month ago
the onset, progression and chronicization of fibrosis, and impact on innovative therapeutic strategies to target these processes with relevant publications in the field. Expertise in advanced techniques
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning