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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 8 days ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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external collaborators. Keep abreast of any new technical developments in the field and new software packages. Qualifications: PhD in molecular biology, computational biology, health sciences or related
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), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
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10 Oct 2025 Job Information Organisation/Company CNRS Department Mécanismes en sciences intégratives du vivant Research Field Biological sciences Biological sciences » Biology Researcher Profile
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9 Oct 2025 Job Information Organisation/Company International Institute of Molecular and Cell Biology in Warsaw Department Laboratory of Single-Molecule Biophysics Research Field Biological sciences
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associated metabolic disorders, with a primary focus on RNA splicing. You will analyze state of the art bulk, single cell, and spatial omics data and develop new computational methods to identify key
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this position will also possess: Expertise in chemical biology approaches, RNA structure probing, or next-generation sequencing library preparation. Familiarity with computational tools for analyzing sequencing
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher's tasks cover the following five
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information at BNL | Benefits Program Researchers in the Biology Department at Brookhaven National Laboratory seek to unravel and fully describe the complexities of biological systems--from how plants build