Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Washington
- University of Glasgow
- Nature Careers
- University of Michigan
- University of Oklahoma
- Washington University in St. Louis
- California State University, Fresno
- Cranfield University
- Curtin University
- Ghent University
- Institut Pasteur
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- NTNU - Norwegian University of Science and Technology
- SUNY University at Buffalo
- Stanford University
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- The Ohio State University
- The University of Iowa
- University of British Columbia
- University of California, San Diego
- University of Copenhagen
- University of Michigan - Ann Arbor
- University of Minnesota
- University of North Texas at Dallas
- University of Sheffield
- 18 more »
- « less
-
Field
-
applications. Skill in using analytical software tools, data analysis methods, and other computer applications. Preferred Qualifications Prior research experience in computational biology/bioinformatics
-
the parallel/convergent basis of complex phenotypes. This project will build on existing datasets and with opportunity for new experiments. The ideal candidate will have some familiarity with bioinformatics and
-
. Decoding Temporal Windows for Mitochondrial Intervention Across Species Using Data-Driven Approaches (available as IPhD) Supervisor: Alberto Sanz MSc choices: Biomedical Sciences, Bioinformatics
-
parallel with a global decline in fertility and increased incidences of male and female reproductive dysfunction. Although the etiologies of these conditions are complex, there is increasing evidence that
-
a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and
-
Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
-
this project you will develop and test a range of these inhibitory peptides, based on prototypes already developed in the lab. In parallel you will develop a recombinant method of peptide production that will
-
algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
-
, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
-
the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete