Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- Duke University
- Purdue University
- Carnegie Mellon University
- University of Oregon
- University of Utah
- Nature Careers
- The University of Iowa
- University of Kansas Medical Center
- University of Texas at Austin
- Arizona State University
- Baylor College of Medicine
- Brookhaven Lab
- Pennsylvania State University
- The University of Alabama
- The University of Chicago
- University of California Davis
- University of California Irvine
- University of California, Berkeley
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- University of New Hampshire – Main Campus
- University of Pittsburgh
- 13 more »
- « less
-
Field
-
, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Economics Mathematics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
-
received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
-
engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
-
, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing
-
at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field
-
on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build
-
on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build
-
capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
-
to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry