:As a Data Scientist, you will play a key role in developing data processing pipelines, applying machine learning techniques, and deriving insights from various types of neural and biodata, including EEG, heart rate, movement-related data, and similar. Your contributions will be crucial in advancing our neurotechnology projects. Relevant for students with an existing degree.
Key Responsibilities:
Develop and maintain data processing pipelines for complex signal data.
Apply machine learning techniques to analyze neural and biodata.
Derive actionable insights from diverse datasets to support neurorecovery solutions.
Collaborate with a multidisciplinary team to innovate and implement AI-driven approaches.
Key Responsibilities:
Develop and maintain data processing pipelines for complex signal data.
Apply machine learning techniques to analyze neural and biodata.
Derive actionable insights from diverse datasets to support neurorecovery solutions.
Collaborate with a multidisciplinary team to innovate and implement AI-driven approaches.
Requirements:
Proven experience in data science, with a focus on machine learning.
Strong interest in applying AI techniques to real-world problems.
Experience with complex signal data analysis, such as EEG (preferred).
Ability to think creatively and solve problems innovatively.
Fluency in English, with excellent communication skills.
Availability for a hybrid work model (up to 2 days a week on-site).
Proven experience in data science, with a focus on machine learning.
Strong interest in applying AI techniques to real-world problems.
Experience with complex signal data analysis, such as EEG (preferred).
Ability to think creatively and solve problems innovatively.
Fluency in English, with excellent communication skills.
Availability for a hybrid work model (up to 2 days a week on-site).
This position is open to all candidates.
