Precision Medicine Research Fellow

3 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time

About the Project

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The goal of this project is to develop a novel risk prediction model for involuntary psychiatric care (IPC) patients. This model will use machine learning algorithms to predict patient outcomes and provide personalized treatment recommendations.

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Objectives

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  • Develop a high-performing risk prediction model using large-scale observational data">
  • Conduct qualitative research to inform the design and implementation of clinical trials">
  • Collaborate with clinicians to ensure the model is clinically relevant and useful">
  • Communicate findings through scientific reports, presentations, and publications">
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Requirements

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To be successful in this role, you will need to have a Master's degree in a health-related field or biostatistics/data science, as well as excellent analytical and problem-solving skills. You should also be able to work effectively in a team and communicate complex ideas clearly.



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