Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
facility, high-end FACS, IT and microscopy facilities, the Life Sciences Training Facility (for gene expression and proteome profiling) and much more. The candidate is expected to have a strong background
-
Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
-
Oklahoma Medical Research Foundation and Oklahoma City VA Medical Center located next to the OUHSC campus. For further information about the department and centers go to https://medicine.ouhsc.edu/academic
-
of the mRNA decay fragments, and 2) the regulation of related genes by the decay fragments, or their derivatives. For more detailed information please see our recent publications: (https://www.nature.com
-
, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
-
and tissue biopsies under GCLP and basic flow cytometry. As the incumbent successfully learns specimen processing, she/he may be taught other genomics, proteomics, and cellular assay procedures in
-
University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 3 months ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
-
and molecular dissection of hormone transport/signalling modules reporter lines and quantitative imaging, including confocal microscopy transcriptomics and proteomics with integrative data
-
maintenance of equipment. 3. molecular biology including cloning 4. behavioral experiments 5. collecting worms for metabolomics, transcriptomics, and proteomics. 6. Genetic crosses 7. Supervision
-
. The specific tasks involve the development and application of bioinformatics and computational methods to integrate (epi)genomic, proteomic and transcriptomic data into predictive models powered byAI and agentic