Sort by
Refine Your Search
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
applicants for a postdoctoral fellow position in the Brown lab at Harvard Medical School in Boston, Massachusetts. The Brown lab uses structural, biophysical, and biochemical approaches to decipher the biology
-
Position Description The Bertoldi Group at Harvard SEAS is seeking a Post Doctoral Fellow in Mechanical Engineering. The ideal candidate will have research experience with kirigami structures and mechanical
-
with expertise in causal inference, econometrics, experimental design, industrial organization, or applied microeconomics. Experience with field experiments, quasi-experimental methods, and/or structural
-
Empirical Structural Applied
-
. Expertise in any of the following fields would be beneficial: mass spectrometry, protein purification, gene editing/cell engineering, structural biology. Additional Qualifications Special Instructions
-
University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry and Machine Learning, with a focus on studying geometric structures in data and
-
more independence than traditional postdoctoral positions, each fellow is mentored by an Institute Core Faculty and a member of the Translational AI Team. This mentorship structure is designed to support
-
The Postdoctoral Fellow will: Collaborate with the PI and interdisciplinary team on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text
-
on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text-analytic workflows and historical datasets. Produce high-quality scholarly