-
research environment Access to state-of-the-art core facilities (genomics, imaging, flow cytometry, bioinformatics, and more) Multidisciplinary training at the interface of cancer biology, functional
-
biochemistry, next-generation sequencing, bioinformatics, and expression analyses. We are currently seeking a Postdoc Scientist to support the dynamic team in experimental work in the awarded grant OPUS29
-
Dr. Stefan Hupperts and Prof. Michael Gundale. See more about the Forest Vegetation Ecology group here: https://www.slu.se/en/research/research-catalogue/grupper/f/forest-vegetation-ecology/ Your
-
the Institute of Bio- and Geosciences (IBG-4: Bioinformatics, headed by Prof. Dr. Björn Usadel) at Forschungszentrum Jülich. The position is embedded in subproject A12 of the DFG-funded Collaborative Research
-
computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum
-
: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods
-
basic bioinformatic analysis (e.g. R, Seurat for single-cell RNA-seq) is a plus, together with willingness to develop these skills further. • A proven track record of peer-reviewed publications
-
record Great quality interaction and communication skills. Additional merits .Experience with one or more of the following is considered as an advantage: single-cell omics, bioinformatics, bioimaging, flow
-
candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
-
sustainable plant protection. A PhD in bioinformatics, genomics, microbiology, plant pathology, or a related field is required. Candidates must have demonstrated expertise in genome and/or transcriptome