Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stanford University
- Cornell University
- Bowdoin College
- University of North Carolina at Chapel Hill
- NEW YORK UNIVERSITY ABU DHABI
- EPFL
- Yale University
- Delft University of Technology (TU Delft)
- FAPESP - São Paulo Research Foundation
- Princeton University
- SciLifeLab
- Texas A&M University
- Umeå University
- University of Washington
- VIB
- Aalborg University
- Inria, the French national research institute for the digital sciences
- Karolinska Institutet (KI)
- Maastricht University (UM)
- Northeastern University
- Technical University of Munich
- The University of Arizona
- University of Luxembourg
- University of Texas at Arlington
- Utrecht University
- ;
- Aarhus University
- Chalmers University of Technology
- Computer Vision Center
- Duke University
- Eindhoven University of Technology (TU/e)
- Harvard University
- Heidelberg University
- Helmholtz-Zentrum Hereon
- KTH Royal Institute of Technology
- Lancaster University
- Leiden University
- Linköping University
- Loyola University
- Lunds universitet
- New York University
- Queen Mary University of London
- Research Center for Molecular Medicine (CeMM), ÖAW
- Rutgers University
- SUNY University at Buffalo
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Universiteit Leiden
- University of Arkansas
- University of California, Berkeley
- University of Canterbury
- University of Illinois at Urbana-Champaign
- University of Liège
- University of Manchester
- University of Minnesota
- University of Tübingen
- Uppsala University
- Uppsala universitet
- Vanderbilt University
- Wageningen University & Research
- 51 more »
- « less
-
Field
-
across Duke and other institutions. Applicants should hold, or expect to complete before the start date, a PhD in computer science, machine learning, natural language processing, or a closely related field
-
modelling. Experience with machine learning, prediction modelling, causal inference, or the integration of multiple data sources is an advantage. Excellent oral and written communication skills in English
-
data, and communicate technical work. Cornell Duffield Engineering is supporting a two-year experiment in which faculty reconsider what students need to learn and how they should learn it with, around
-
Experience with machine learning methods applied to large data Background in immunology, infectious disease, or inflammatory disease biology About Cornell and the De Vlaminck Lab Cornell University is an Ivy
-
experience in analyzing and integrating complex large-scale datasets and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine
-
, astrophysical, and gravitational-wave observables; development of statistical-inference and machine-learning methods; direct analysis of current and future surveys or experiments. As members of the Arizona
-
biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
-
and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
-
this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
-
Detail Information Position Summary The Chand Lab in the Department of Electrical and Computer Engineering at the University at Buffalo (UB) invites applications for a Postdoctoral Associate in