14 computer-science-associate-professor Postdoctoral positions at Heidelberg University
-
The research group of Prof. Dr. Michael Mastalerz at the Institute of Organic Chemistry, Heidelberg University is seeking the following temporary full-time position from November 1st 2025 or later
-
, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
-
-for-computational-biomedicine ). Job-ID: V000013739 Field of application: Institute for Computational Biomedicine Location: Heidelberg Start date: 01.04.2025 or as soon as possible Job Category: Science and teaching
-
, Computational Biology, or a related field Proven experience in large-scale omics data analysis, preferably spanning multiple omics domains (e.g. methylation profiling, DNA/RNA sequencing, proteomics, single-cell
-
expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
-
, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
-
, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
-
, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
-
possible date at the KlausTschira Institute for Integrative Computational Cardiology to join our interdisciplinary project at the forefront of RNA biology and sequencing technology. Project Overview
-
of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our