Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
large arrays are individually controlled, interrogated, and even entangled with other atoms. We seek to leverage the many-fold technical QIS advances to develop new algorithms for optical clocks as
-
diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. This work must occur in a stepwise fashion to ensure smooth transitions and minimize
-
innovative ideas, the ability to make a difference, and participate in human advancements. Our culture is fast-paced, energetic, and growing all the time. We offer a variety of benefits beyond traditional
-
responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
-
genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects
-
Bioinformatician (Open Rank) - 37106 University Staff Description University of Colorado Anschutz Medical Campus Department of Pediatrics | Section of Genetics & Metabolism Job Title
-
Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
-
mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
(NRI) is an internationally recognized center conducting innovative basic and translational science to establish how individual differences in nutrient requirements and responses to diet affect our
-
team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing