Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
-
across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
-
screens Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as immunological, and bioinformatics techniques to study translational aspects of cancer (e.g., Cre/loxP and Flp
-
: (depending on previous eligible experience) at least: € 4.932,90 (payable 14 times per year) Responsibilities Scientific research in bioinformatics, genomics, and evolution of crop plants and their wild
-
of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
-
imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
-
in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one
-
. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
-
research consortium to study brain wiring that includes. : We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory
-
intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning