Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in a well-stablished, well-funded research group, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore
-
: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
-
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
-
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
-
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
-
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
-
, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
-
, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
-
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
-
. Decoding Temporal Windows for Mitochondrial Intervention Across Species Using Data-Driven Approaches (available as IPhD) Supervisor: Alberto Sanz MSc choices: Biomedical Sciences, Bioinformatics