CareerPlan
Uppsala, SwedenFull-time2026-10-26 → 2026-11-09
Based in Sweden

Core

Develop and validate AI-based methods to understand and predict recovery after traumatic brain injury by analyzing clinical and physiological data.

Role type

Researcher (Machine Learning / AI)

Builds

Predictive models for clinical outcomes and physiological changes in neurointensive care.

Domain

Biomedical research / Neurotrauma / Clinical data analysis

Deliverable

production ML models

Required skills

Machine learning, deep learning, Python, PyTorch, quantitative data analysis, scientific writing

Preferred skills

Biomedical/clinical data experience, time-series modeling, multimodal data integration, medical image analysis, high-performance computing, Docker/Git

Technologies

Python, PyTorch, Docker, Git

Responsibilities

Develop, implement, and evaluate machine learning methods for TBI patient data; Process and integrate longitudinal clinical, physiological, and imaging data; Develop reproducible analysis workflows and ensure data quality; Author scientific manuscripts and present results in interdisciplinary collaboration.