Publisher
source

Charité - Universitätsmedizin Berlin

Postdoctoral Fellowship in LLMs and Clinical Decision Support Charité - Universitätsmedizin Berlin in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 15, 2026

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Country

Germany

University

Charité - Universitätsmedizin Berlin

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Organizational Studies
Medical Science
Clinical Informatics
Clinical Decision Support
Information Systems
Large Language Models

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About this position

Charité - Universitätsmedizin Berlin / Freie Universität Berlin is advertising a fully funded postdoctoral fellowship in Large Language Models (LLMs) and clinical decision support on the project EMRE-KI.

The project focuses on integrating textual data from clinical notes with an existing medication decision-support system, with the goal of grounding decision support in richer clinical-note context. This opportunity is especially relevant for researchers with interests in medical informatics, information systems, organizational studies, and related interdisciplinary areas.

Eligibility highlights: applicants should have a background in information systems, organizational studies, medical informatics, or a related field. The post also states that applicants must have been based in the United States for at least the past three years.

Funding: the fellowship is described as fully funded. A possible start date is January 2027.

Application: contact daniel.fuerstenau@fu-berlin.de with a lightweight application of approximately 10 pages. A short link to the post is provided for more information.

Deadline: 2026-09-15.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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