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University of Koblenz

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PhD Position in Explainable AI for the Molecular Bases of Disease Progression Hochschule Koblenz in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Germany

University

University of Koblenz

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Keywords

Computer Science
Data Science
Biomedical Engineering
Deep Learning
Biology
Computational Biology
Explainable Ai
Statistics
Bioinformatic
ML

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About this position

Hochschule Koblenz is advertising a PhD position in Explainable AI for the molecular bases of disease progression. The project focuses on multi-omic data preprocessing, integration, and modeling, alongside the development of novel explainable AI methods and interpretation of results with partners from medicine and biology.

This opportunity is aimed at a (recent) Master’s graduate in bioinformatics, computer science, data science, computational biology, biology, physics, mathematics, or a related field. Applicants should have solid programming skills in Python, R, and/or C/C++, a good foundation in machine learning or deep learning, and an interest in interdisciplinary research. Excellent English is required; German is helpful but not mandatory.

The post is shared by Yassen Assenov of Hochschule Koblenz. The application portal is linked in the post, and the full vacancy is available on the university’s jobs page. If you are interested, review the posting and submit your application through the portal.

Funding details

Available

What's required

Recent Master's degree in bioinformatics, computer science, data science, computational biology, biology, physics, mathematics, or a related field; solid programming skills in Python, R, and/or C/C++; good foundation in machine learning or deep learning; curiosity about interdisciplinary research; excellent English required; German is a plus but not mandatory.

How to apply

Open the full posting and apply via the application portal linked in the post. Direct questions can be sent to the announcer.

More information can be found here

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