Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- University of Oxford
- Argonne
- University of North Carolina at Chapel Hill
- ;
- Duke University
- Pennsylvania State University
- University of Minnesota
- KINGS COLLEGE LONDON
- Princeton University
- Stony Brook University
- Technical University of Munich
- University of California Berkeley
- University of Miami
- Yale University
- Brookhaven Lab
- Leibniz
- New York University
- U.S. Department of Energy (DOE)
- University of Central Florida
- University of Houston Central Campus
- Carnegie Mellon University
- Copenhagen Business School , CBS
- Cornell University
- Heriot Watt University
- Northeastern University
- Technical University of Denmark
- Texas A&M University
- University of Florida
- University of Lund
- University of Minnesota Twin Cities
- University of Vienna
- Utrecht University
- Aarhus University
- Cold Spring Harbor Laboratory
- King Abdullah University of Science and Technology
- King's College London
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- RIKEN
- Rutgers University
- South Dakota Mines
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of California
- University of California Irvine
- University of Houston
- University of London
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- University of Washington
- Virginia Tech
- Wayne State University
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Aalborg University
- Academia Sinica
- CEA-Saclay
- Canadian Association for Neuroscience
- Case Western Reserve University
- Chalmers University of Technology
- Emory University
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Genentech
- Georgia State University
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- Purdue University
- Radboud University
- Royal College of Art
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- SciLifeLab
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- The University of Arizona
- Tsinghua University
- University College Cork
- University at Buffalo
- University of British Columbia
- University of California, Merced
- University of Cambridge
- University of Cincinnati
- 90 more »
- « less
-
Field
-
at least one year of postdoctoral research, have experience with data visualisation, and be enthusiastic about engaging with different online communities to learn more about public uses of the past. They
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
-
calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
-
this position you may also have the opportunity to teach courses offered in our department. These duties would be to prepare and deliver lectures, prepare homework assignments, quizzes and exams, hold office
-
, Division of Applied Mathematical Science (Team Director; Eiryo Kawakami) (5) Medical Science Deep Learning Team , Division of Applied Mathematical Science (Team Director; Jun Seita) (6) Prediction
-
of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
-
unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
-
bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
-
follow all safety protocols, properly recording data from experimental and numerical research and promptly backing up all data. -While in this position you may also have the opportunity to teach courses