331 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and Public Policy. Through teaching and research at the Kennedy School of Government and its program of visiting fellows, conferences and initiatives, the Center is at the forefront of its area of
-
Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
-
programs in biostatistics, computational biology and data science; currently, more than 180 students are enrolled in these programs. Our team invites applications for a Programmer position in the National
-
the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
-
Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
-
groups, and educational workshops to further develop research and communication skills. Basic Qualifications: Bachelor's degree in computer science or closely related field. Contact Information: Heather
-
opportunity to shape the future of medicine. Job Description As the High Performance Computing Team Lead, you will lead the design, engineering, operation, and lifecycle management of high-performance computing
-
Details Title HMS - Associate in Biomedical Informatics (Farhat lab) School Harvard Medical School Department/Area Research Position Description The Farhat lab in the Department of Biomedical
-
Details Title HMS - Associate in Biomedical Informatics (Zitnik Lab) School Harvard Medical School Department/Area Research Position Description The Associate will engage in academic research and
-
at internal Wyss Meetings and prepare presentations for updating program officers from funding agencies. Develop pipelines for selecting biomarkers from large multi-omic data sets. (NGS, mass spectrometry, etc