IUF - Leibniz-Institut für umwelt- medizinische Forschung gGmbH
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Doctoral Researcher Position in Biostatistics and Statistical Learning IUF – Leibniz-Institut für Umweltmedizinische Forschung in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
DFG-funded research project. The position is a doctoral researcher job; no stipend amount, tuition coverage, or other financial details are stated.
Country
Germany
University
IUF - Leibniz-Institut für umwelt- medizinische Forschung gGmbH

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About this position
Doctoral Researcher Position in Biostatistics and Statistical Learning at the IUF – Leibniz-Institut für Umweltmedizinische Forschung in Düsseldorf, Germany.
The position is part of a DFG-funded research project titled Adaptive Sampling for Variable Selection and Prediction on Large-Scale Genome–Exposome Data. This is a strong fit for applicants interested in biostatistics, statistical learning, variable selection, and prediction, especially in the context of genome-exposome data and environmental medicine.
The post is advertised as a doctoral researcher (PhD) position and is to be filled as soon as possible. No stipend amount, tuition information, or explicit fee waivers are mentioned in the post excerpt.
Applicants should review the linked details page for the full call, eligibility criteria, and application procedure. The post includes a direct details link and references an attached PDF, which likely contains the formal advertisement.
Keywords: biostatistics, statistical learning, genome-exposome data, variable selection, prediction, statistics, environmental medicine.
Funding details
DFG-funded research project. The position is a doctoral researcher job; no stipend amount, tuition coverage, or other financial details are stated.
What's required
Doctoral researcher position in biostatistics and statistical learning. The post implies a strong background in statistics/biostatistics and interest in variable selection and prediction on large-scale genome-exposome data. No further formal requirements are stated in the post excerpt.
How to apply
Open the linked details page and follow the application instructions there. The position is to be filled as soon as possible, so apply promptly. Check the linked PDF/details for full requirements and submission steps.
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