242 parallel-processing-bioinformatics-"Prof" Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, the project will expand our view on the functional role of the human microbiome in health and disease. This project is funded by the FNR (National Research Fund) and carried out in collaboration with Prof. Paul
-
(QMUL). The researcher will be working under the supervision of Prof. Matteo Palma (QMUL): see http://research.sbcs.qmul.ac.uk/m.palma/. We have developed different nanohybrids platforms interfacing low
-
Computational Biomolecular Dynamics Prof. Dr. Bert de Groot Am Faßberg 11 37077 Göttingen www.mpinat.mpg.de/degroot Information pursuant to Article 13 DSGVO on the collection and processing of personal data
-
work in the lab of Prof. Dr. Carolin Wendling, which explores how bacteriophages shape bacterial adaptation and pathogenicity within the human microbiome. Our interdisciplinary team combines experimental
-
applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to achieving gender
-
working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
-
, which also encompasses single-cell resolution spatial transcriptomics of human plaques to precisely identify and characterize disease-relevant smooth muscle cell phenotypes, a parallel track of organoid
-
. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad
-
Prof. Thomas Pietschmann, at TWINCORE - Center for Experimental and Clinical Infection Research in Hanover, is seeking a Postdoc for hepatitis C virus vaccine research (f/m/d) Join a mission-driven team
-
, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer