Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- Syracuse University
- Karolinska Institutet
- University of Oxford
- ;
- Case Western Reserve University
- Center for Drug Evaluation and Research (CDER)
- Lawrence Berkeley National Laboratory
- Pennsylvania State University
- Princeton University
- University of Oslo
- Washington University in St. Louis
- Georgia Southern University
- Hamilton College
- Michigan State University
- Nature Careers
- Technical University of Denmark
- The University of Texas at Dallas
- University College London
- University of Arkansas
- University of Bergen
- University of California
- University of Colorado Boulder
- University of Copenhagen
- University of Glasgow
- University of Lincoln
- University of Maryland, Baltimore
- University of Miami
- University of Newcastle
- University of North Carolina at Chapel Hill
- University of North Georgia
- University of Oregon
- 21 more »
- « less
-
Field
-
genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
-
(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related
-
Position as Postdoctoral Research Fellow available at the Department of Biosciences as part of the UiO: Life Science Convergence Environment AUTORHYTHM. The candidate will develop new machine learning
-
to teach introductory courses and seminars in their field of specialization, and to facilitate programming, with additional funds. Candidates who are ABD will be considered, although candidates with a Ph.D
-
these interactions and be open to learning associated skills and background. This project is part of a larger collaborative effort, so the candidate will also be responsible for managing interactions with additional
-
track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques, particularly machine learning potentials, in the context of chemical research
-
environments shared between robots and humans, contribute to system integration and validation, and support software developments in ROS1 or ROS2. You will also have the opportunity to learn and exploit activity
-
. As a Carnegie Doctoral/R2 institution, our world-class scholars instruct about 26,000 students in associate's, bachelor's, master's and doctoral level degree programs. Whether you are seeking the charm
-
-Vidaurre Lab focuses on how socially learned vocalizations are used to communicate identity information, and how brain regions for producing learned vocalizations may be sensitive to the early-life
-
to machine learning modeling on Alzheimer's disease. The candidate selected candidate will employ machine learning techniques with differential equations. Review of applications will begin immediately and