Postdoctoral Researcher​/Lab Scientist Deep Phenotyping

Collaborate in Electrophysiological Data Acquisition and Processing:
Conduct and manage experiments involving TMS, EEG, EMG, and MRI in patients with movement disorders. Develop protocols for data acquisition, ensuring high-quality and reproducible results using appropriate filtering, artifact rejection, and preprocessing techniques.

Leading Role in Data Analysis and Machine Learning:
Perform complex data analysis using statistical software such as Python, MATLAB, and/or R. Develop, maintain, and implement custom scripts for data acquisition, processing, and analysis as well as machine learning algorithms to classify and predict outcomes based on electrophysiological data. Perform statistical analysis on experimental data, ensuring the use of appropriate methods for hypothesis testing and interpreting results in the context of neurophysiology.

Collaborator in Biomarker Discovery, Research and Development:
Engage in biomarker discovery projects using electrophysiological, neuroimaging, and other biological data to validate novel biomarkers associated with movement disorders. Collaborate with other researchers and clinicians to integrate biomarker findings into clinical practice. Design new research methodologies and experimental techniques related to neurophysiology with a focus on movement disorders. Stay updated on the latest advancements in electrophysiology and signal processing.

Lead Responsibility and Collaboration in Grant Writing and Funding Applications:
Prepare and submit grant proposals to secure funding for research projects. Write and review research protocols, ethical approvals, and other documentation required for grant applications. Identify funding opportunities and develop strategies to enhance the lab's research portfolio.

Collaboration in Manuscript Preparation and Publication:
Write, revise, and contribute to scientific manuscripts for publication in peer‑reviewed journals. Prepare figures, tables, and supplementary materials for publications and implement data visualization techniques to communicate research findings.

Collaboration and Mentorship:
Collaborate with clinicians, students, and other researchers on multidisciplinary projects. Mentor undergraduate students in the lab, providing guidance on research techniques and data analysis. Participate in lab meetings, seminars, and collaborative discussions to advance research goals.