112 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Requirements: Sitting using near vision use for reading and computer use for extended periods of time Lifting (approximately 20 to 30 pounds), bending, and other physical exertion Qualifications Basic
-
project areas: Building and integrating software Community building and outreach Usability and UX Writing math proofs Machine learning and differential privacy Privacy, ethics, policy, and responsible use
-
of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
-
protocols, which involves conducting literature reviews and eliciting required data elements Understanding of and experience with quantitative methods (simulation modeling, optimization, and machine learning
-
date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
-
, United States of America [map ] Subject Areas: Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA biology , stem cell biology , virology Computer Engineering / Cloud
-
for opportunities abroad. These grants present an excellent opportunity for recently minted scholars to deepen their expertise, to acquire new skills, to work with additional resources, and to make connections with
-
date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
-
. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
-
research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic