Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Classification Title: Ast/Aso/Full Prof Classification Minimum Requirements: All candidates must have completed at least one year of post‑residency fellowship training in epilepsy and EEG. Job
-
, and experimental design. It serves as the laboratory’s primary EEG subject matter expert, supporting multiple research projects that depend on this expertise. The Research Professional 5 independently
-
limited to: Conducting in vivo rodent experiments, including drug administration, behavioral testing, stereotaxic surgery, and EEG/seizure monitoring. Processing brain tissue for histology and
-
Job Description Harborview - EEG and Neurophysiology Lab has an outstanding opportunity for a Patient Services Specialist 2. WORK SCHEDULE Full-time, 100% FTE (40 hours per week) Day Shift Mondays
-
Previous Job Job Title Research EEG Technologist Next Job Apply for Job Job ID 375836 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code 8351CR
-
MEG or EEG), strong skills in artificial neural netwroks, strong programming skills (MATLAB and/or Python), and solid knowledge of statistical methods. Experience in designing, fitting and comparing
-
scientific writing and communication skills. Experience with one or more of the following will be particularly valued: Experience with BESA (EEG) and/or Satori (fNIRS) Physiological signals such as EEG, fNIRS
-
neuroscience and EEG research? Join our ERC-funded project exploring how the brain localises touch and represents the body in space. You will collaborate in an interdisciplinary research team and contribute
-
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