Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Texas A&M University
- Technical University of Denmark
- AALTO UNIVERSITY
- CNRS
- Princeton University
- Technical University of Munich
- University of North Carolina at Chapel Hill
- University of Oxford
- Aalborg University
- Argonne
- KINGS COLLEGE LONDON
- University of Luxembourg
- Delft University of Technology (TU Delft)
- Northeastern University
- University of Bergen
- Duke University
- Empa
- University of Lund
- University of Minnesota
- University of Sydney
- University of Washington
- Brookhaven Lab
- Carnegie Mellon University
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- Medical College of Wisconsin
- New York University
- UNIVERSITY OF SYDNEY
- University of California Berkeley
- University of Connecticut
- University of Florida
- University of Oxford;
- Boston University
- Brookhaven National Laboratory
- Delft University of Technology (TU Delft); yesterday published
- ETH Zürich
- Forschungszentrum Jülich
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Inria, the French national research institute for the digital sciences
- Purdue University
- Radboud University
- SciLifeLab
- Stony Brook University
- UNIVERSITY OF VIENNA
- Umeå University
- University of Maine
- University of Oregon
- University of Southern Denmark
- University of Twente
- ;
- Aalborg Universitet
- Aarhus University
- Aix-Marseille University
- Aix-Marseille Université
- Bar Ilan University
- Baylor College of Medicine
- Bowdoin College
- Case Western Reserve University
- Chalmers tekniska högskola
- Computer Vision Center
- Consortium Virome@tlas
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- EURAXESS
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- Emory University
- Fred Hutchinson Cancer Center
- Free University of Berlin
- French National Research Institute for Sustainable Development
- Georgia State University
- Heriot Watt University
- Human Technopole
- INSERM U1183
- Institute for bioengineering of Catalonia, IBEC
- Johns Hopkins University
- KTH Royal Institute of Technology
- King's College London
- Leibniz
- Linköping university
- Linköpings University
- Loyola University
- Lunds universitet
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- Massachusetts Institute of Technology
- McGill University
- NSF-Simons Foundation-funded National AI Institute for the Sky
- Nagoya Institute of Technology
- Nencki Institute of Experimental Biology
- Northumbria University;
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Rutgers University
- Scion
- 90 more »
- « less
-
Field
-
About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
-
bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
-
of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
-
. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
-
, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible
-
city models focused on health and environmental infrastructures. Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban
-
predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
-
that promote inclusivity, fairness, and productive discourse online. We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running
-
to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
-
developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health