Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Spain
- Sweden
- Denmark
- France
- Portugal
- Poland
- Canada
- Belgium
- Netherlands
- Switzerland
- Finland
- Hong Kong
- Czech
- Australia
- Austria
- Norway
- Singapore
- Italy
- Croatia
- Japan
- China
- Mexico
- Morocco
- Romania
- Brazil
- Luxembourg
- Malta
- New Zealand
- Saudi Arabia
- Taiwan
- 23 more »
- « less
-
Program
-
Field
-
data/open science, life sciences data systems, and analysis of various kinds of ‘omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). Values & Abilities: We expect ML Performance
-
offer state-of-the art instrumentation and expertise in the fields of flow cytometry, electron and photonic microscopy, proteomics. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7592
-
Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
-
Responsibilities Salary Range: $80,000 – $100,000 Benefits Information: https://www.luc.edu/hr/benefits/ We are seeking a highly motivated data scientist to join our group, which has been supported by federal funds
-
reagents and PRE probes for NMR, preparation of nuclear extracts, in vitro splicing assays, a range of biophysical assays, photochemical crosslinking and submission of samples for proteomics and subsequent
-
) for simplified data storage and submission Collaboration on tool development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and
-
muscle-heart crosstalk is modulated by physical exercise and pharmacological interventions. The position involves integrative analysis of multi-omics datasets (snRNA-Seq, CUT&Tag, proteomics, and
-
: (1) Chemical biology; (2) Anticancer drug research; (3) Cancer biology; (4) Mass spectrometry; (5) Proteomics. They should be self-motivated, responsible and able to work independently as well as in a
-
ESS service lines of business, including but not limited to proteomics, metabolomics, transcriptomics and genomics. Contribute to continuous improvement of laboratory capabilities supporting
-
assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic