Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition
-
24 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
-
related field Strong background in data analysis, particularly with behavior data, functional ultrasound (fUS) or other neuroimaging modalities Proficiency in statistical analysis, machine learning, and
-
engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems
-
Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 22 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
-
. Skills in computational modelling or machine learning applied to brain signals are an asset. We are looking for a highly motivated, rigorous and curious researcher who is ready to invest themselves in a
-
spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
-
) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
-
processing. Specific Requirements Knowledge: Computational biology and neuroimaging. Data integration. Advanced data management methods. Advanced data analysis methods. Machine Learning. Professional
-
from Ulster’s wide-ranging expertise in Computational Neuroscience, Neurotechnology, and Machine Learning and access to cutting-edge neuroimaging facilities such as NIRS/EEG/MEG and will interact with