Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
of representation and neural correlates in human infants and adults (fMRI, EEG and/or fNIRS methodologies). We are looking for a highly motivated candidate with: a Master's degree (or equivalent) in Cognitive Science
-
different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
-
simulated driving tasks.The PhD candidate will contribute to experimental design and protocol implementation.They will participate in participant recruitment and the acquisition of behavioral, EEG and eye
-
, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of peer-reviewed scientific
-
than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language communities, including indigenous language
-
focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The positions are full-time
-
Perception and Action research team under the supervision of Dr Dollyane Muret. Experimental work will be carried out at the INCC BabyLab (https://babylab.incc-paris.fr/ ), a research facility dedicated to
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
by LA/P/0083/2020 and 1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 – LASEEB/ISR, financed by national funds through FCT/MCTES Workplan: The scholarship holder will acquire electrophysiological data (EEG
-
of the Max Planck Institute for Human Development (Berlin). The candidate will lead arc 1 and 2 of ATLAS (see https://www.mpib-berlin.mpg.de/research/research-centers/lip/projects/atlas ) in all steps
-
evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your