Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial
-
complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
-
claims and electronic health data to examine healthcare utilization, quality of care, treatment patterns, and outcomes among individuals with diabetes. Participate in systematic reviews and meta-analyses
-
one of the following fields: process-based model development, Earth system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and
-
technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
-
illness and its physical health comorbidities. Drawing on large-scale epidemiological data, clinical research and evidence synthesis, you will play a pivotal role in generating knowledge that informs
-
environmental impact. By drawing on interdisciplinary expertise (spanning renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven
-
complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
-
complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
-
, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next