Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code
-
sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker
-
. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework
-
omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
-
we publicly share all our code and data artifacts, good coding & reproducible experimentation practices are a must. We meet frequently to provide short status updates and have regular technical 1-1s
-
studies. They should be able to work independently or as part of a team, depending on the project's scope. As we publicly share all our code and data artifacts, good coding & reproducible experimentation
-
-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good
-
Description The Center for Brain and Health (CBH) (https://brainandhealth.org/ ) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related
-
both empirical and theoretical economics and strong coding skills. The role will involve designing surveys, working with existing datasets, and applying models of firm dynamics in settings of structural
-
, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network