Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
-
analysis, programming. You aspire to do a PhD in economics / finance later. For the style of research involved in the “Machine learning” track, see the paper “Asset Embeddings ” at https://papers.ssrn.com
-
their own research agenda. More information on Professor Dell can be found at this link: https://dell-research-harvard.github.io/ Responsibilities will include: Training and fine-tuning deep learning-based
-
, tissue culture, and protein purification, although we expect to teach all of these while executing projects. Exposure to applicable computer technologies, including specific software applications, may be
-
. Basic Qualifications Bachelor’s degree or equivalent work experience required Minimum of 5 years’ relevant work experience Additional Qualifications and Skills MA/MFA/PhD strongly preferred. Experience
-
can address across HMS departments Curriculum development for CCB workshops in computational biology and machine learning Delivering hands on training and office hours for workflows in computational
-
-doctoral position in Applied Math. Fellow will conduct research applying machine learning technology to diverse problems in the sciences, aiming in particular at using traditional scientific computing code
-
This is a position in the EconCS lab (Parkes group) at Harvard School of Engineering and Applied Sciences, with a focus on research in machine learning and mechanism design, especially applied to DeFi and
-
pregnancy-related conditions or any other characteristic protected by law. Minimum Number of References Required 3 Maximum Number of References Allowed 3 Keywords artificial intelligence, machine learning
-
pregnancy-related conditions or any other characteristic protected by law. Minimum Number of References Required 3 Maximum Number of References Allowed 3 Keywords artificial intelligence, machine learning