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- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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environment equipped with state-of-the-art facilities (EEG, MEG, MRI, NIRS, and eye-tracking) and participant labs across the lifespan. This comprehensive setting ensures strong theoretical and technical
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research environment with access to many neuroimaging techniques (EEG, MEG, MRI, NIRS, eye-tracking) and different labs to test babies, children, adults and elders. More information about the BCBL can be
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and weak/malicious actors in IoT products and their supply chain. The candidate will make fundamental contributions to unsolved technical and research challenges, adding to the long and impactful track
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… ). • Tenure track: Career progression • Prospect start date: 29/12/2025 • Continuous training, access to lab facilities, state of the art infrastructure and polyvalent working spaces, participation in
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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be
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research units participated by companies and research organisations: 1 point per month worked, up to a maximum of 20 points. Experience in previous positions related to the object of the contract: 1 point
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FieldBiological sciencesEducation LevelBachelor Degree or equivalent Specific Requirements A BSc or MSc in Biology, Biotechnology, Bioengineering, or a related discipline Excellent track-record of BSc and MSc
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student will be mainly involved in developing the activities to achieve specific objectives of the project: To develop and optimize respiratory organoids derived from relevant host/reservoir animal species
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. Conduct fieldwork to measure physiological and biophysical variables in vineyards. Gain experience with crop models, with the main objective to predict yield. Implement computer vision techniques