Postdoctoral Researcher in Computational Epigenetics Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany

The Max Planck School of Biomedical Artificial Intelligence in Germany is offering 25 fully funded PhD positions focused on developing artificial intelligence and computational methods for biomedical and life-science research. The three-year PhD programme is conducted through the Max Planck Society, participating universities, and research institutions across Germany. Students will benefit from dual supervision, interdisciplinary training, conference funding, mentoring, and access to advanced re...

Funded PhD opportunity in Computational Imaging Mass Spectrometry at Helmholtz Munich , Germany, within the Research Unit Analytical Pathology . The project sits at the intersection of bioinformatics , computational biology , data science , computer science , biostatistics , mathematics , physics , and biomedical engineering , with a strong emphasis on programming , statistics , machine learning , image analysis , and spatial data analysis . Eligibility highlights: applicants should have a Maste...

The Max Planck School of Biomedical Artificial Intelligence (BMAI) is accepting applications for 25 PhD positions located across participating universities and research institutions in Germany. This structured three-year doctoral program brings together more than 30 research groups working at the interface of artificial intelligence and the life sciences. Research areas include molecular and cellular systems, protein and molecule design, complex biological traits, and neural networks. Doctoral r...

The Brunk Lab at the University of North Carolina at Chapel Hill is seeking a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data in controlled cell-line model systems. The project focuses on vertical integration of multimodal single-cell datasets, including single-cell DNA copy number, RNA expression, chromatin accessibility, protein abundance, protein localization, and cytogenetic imaging. The researcher will build computat...

Open postdoctoral position in Scientific Machine Learning and Computational Biology at Johns Hopkins University , posted by Suryanarayana Maddu (Assistant Professor in Applied Mathematics & Statistics). This opportunity is aimed at researchers with interests in machine learning methods for scientific problems, computational biology, applied mathematics, and statistics. The post does not list detailed eligibility criteria, but it is explicitly a postdoctoral opening, so applicants should be prepa...