Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- Sweden
- Denmark
- United Kingdom
- Germany
- Netherlands
- United Arab Emirates
- Spain
- Luxembourg
- Hong Kong
- Belgium
- Ireland
- Switzerland
- Morocco
- Finland
- Italy
- Poland
- Brazil
- Australia
- Austria
- Latvia
- New Zealand
- Norway
- Portugal
- Bulgaria
- Canada
- China
- Iceland
- Japan
- Saudi Arabia
- Singapore
- Slovakia
- Slovenia
- Taiwan
- Vietnam
- Worldwide
- 27 more »
- « less
-
Employer
- Cornell University
- Nature Careers
- New York University
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- University of North Carolina at Chapel Hill
- Stanford University
- Chalmers University of Technology
- Duke University
- Loyola University
- Rutgers University
- Brookhaven National Laboratory
- University of Minnesota
- Aarhus University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- THE UNIVERSITY OF HONG KONG
- University of South Carolina
- ETH Zürich
- University of Luxembourg
- University of Texas at Arlington
- University of Washington
- Princeton University
- University College Cork
- University of Amsterdam (UvA)
- AALTO UNIVERSITY
- Aalborg University
- FAPESP - São Paulo Research Foundation
- Michigan State University
- Northeastern University
- Oak Ridge National Laboratory
- Technical University of Munich
- University of Colorado
- University of Copenhagen
- VIB
- Aston University
- Forschungszentrum Jülich
- IMT Atlantique
- Istituto Italiano di Tecnologia
- Luxembourg Institute of Science and Technology
- SUNY University at Buffalo
- Technical University of Denmark
- The University of Iowa
- University of Nevada Las Vegas
- University of Oxford
- University of Oxford;
- University of Texas at Dallas
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne
- Argonne National Laboratory
- Arizona State University
- Brown University
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY
- Eindhoven University of Technology (TU/e)
- George Washington University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Inria, the French national research institute for the digital sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Leiden University
- Linköping University
- Lunds universitet
- MAYNOOTH UNIVERSITY
- Massachusetts Institute of Technology
- National Renewable Energy Laboratory NREL
- Texas A&M University
- Tilburg University
- Télécom Paris
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå universitet
- University at Buffalo
- University of Basel
- University of Canterbury
- University of Nevada, Reno
- University of Southern Denmark
- University of Turku
- Université Grenoble Alpes
- AI4I
- AMOLF
- Aalborg Universitet
- Aalto University
- Academia Sinica
- BARCELONA SUPERCOMPUTING CENTER
- Binghamton University
- Biobizkaia Health Research Institute
- Boston University
- Cardiff University
- Carnegie Mellon University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Theoretical Physics PAS
- City University of Hong Kong
- Columbia University
- Consejo Superior de Investigaciones Científicas
- Constructor University Bremen gGmbH
- Copenhagen Business School
- Dartmouth College
- EURAC
- 90 more »
- « less
-
Field
-
. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
-
and machine learning to the selection of appropriate technologies. Disseminate findings through peer-reviewed publications, workshops, and conferences. Contribute to project management, reporting and
-
collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
-
mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
-
of optimization and machine learning. • Knowledge of reinforcement learning and black box optimization would be a plus. Skills • The candidate must be comfortable with algorithmic development using
-
for a drug discovery program. The lab and the core research facilities at NYUAD are equipped with state-of-the-art facilities for organic synthesis (https://healylab.com/ ). Applicants for the Post
-
strong publication record (first-author papers in high-impact journals preferred). Demonstrated expertise in at least two of the following areas: AI/machine learning for biological modeling (e.g., virtual
-
related field. Strong knowledge of machine learning. Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and
-
data management and machine learning is also preferred. An interest in energy system topics such as the green transition, sustainable energy systems, digital energetics etc. is preferred. Experience
-
processing, machine learning, and optimization theory. Strong verbal and written skills in English. Excellent analytical and problem-solving skills, and capacity to pursue independent research as