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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 13 days ago
++ programming Low level digital audio systems Audio Digital Signal Processing Embedded Systems Good background in AI in general. Languages Fluent written and spoken English (all communication within the lab
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”. Application Procedure Informal enquiries are very welcome and can be made directly to Dr Tim Bodt (tim.bodt@tcd.ie), Associate Professor, School of Linguistic, Speech and Communication Sciences. To apply
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(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
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order of the classifications obtained, after any tiebreakers have been made. The tie-breaking process will take into account the best classification obtained in the item referred to in point 12.1.1
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, Animal Sciences, at the Centre for Functional Ecology of Department of Life Sciences of Faculty of Sciences and Technology of University of Coimbra. Reference/ Project: 15579 - Operation Code: COMPETE2030
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recommendations detailing under which conditions AI tools can help or hinder writing to learn language as well as content. You can indicate in your application whether you are applying for the position on Project I
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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
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defined in the previous point 6, and additional specific requirements are to have proven experience in Atomic Force Microscopy, demonstrated experience in training and research in the field of food sciences
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of Technology is an internationally renowned research institution focusing on brain-computer communication, cognitive and computational neuroscience. We have extensive expertise in electroencephalography (EEG
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FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 16373, under reference COMPETE2030-FEDER- 00753700, in the area of biotechnology under a work contract for a non-fixed term, aiming