Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Virginia Tech
- UNIVERSITY OF VIENNA
- Nature Careers
- Princeton University
- Aarhus University
- CNRS
- Durham University
- LIVERPOOL JOHN MOORES UNIVERSITY
- Argonne
- Cornell University
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- NEW YORK UNIVERSITY ABU DHABI
- Rice University
- University of Amsterdam (UvA)
- University of British Columbia
- University of Colorado
- University of Southern Denmark
- Aalborg University
- Arizona State University
- BARCELONA SUPERCOMPUTING CENTER
- Biobizkaia Health Research Institute
- Chalmers University of Technology
- Charles University in Prague
- Constructor University Bremen gGmbH
- DIFFER
- ETH Zürich
- Ecole Normale Superieure
- European Space Agency
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Jagiellonian University Faculty of Philosophy
- KTH
- Leiden University
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- Sofia University "St. Kliment Ohridski"
- Stanford University
- Technical University of Denmark
- Technical University of Munich
- Télécom Paris
- University for Continuing Education Krems
- University of Antwerp
- University of Basel
- University of Cambridge;
- University of Connecticut
- University of Lund
- University of Luxembourg
- University of Massachusetts
- University of North Carolina at Chapel Hill
- University of Oregon
- University of Oxford
- University of South Carolina
- University of Vienna
- University of Washington
- University of York;
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 49 more »
- « less
-
Field
-
NAMD Deep Learning Development: Experience developing, validating, and deploying deep learning models, especially using Pytorch Multi-Omic Data Representation: Ability to build deep representations
-
of BNITM Willingness and ability to travel abroad for shorter periods to support field research in Southeast Asia and Africa (approx. 2 months per year) Prior knowledge in quantitative data analysis (ideally
-
working in research projects International experience Knowledge of university processes and structures What we offer Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part
-
to work effectively in an interdisciplinary team. PREFERRED QUALIFICATIONS Experience with one or more of the following: knowledge graphs, graph machine learning, link prediction, representation learning
-
the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable
-
will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental data and 3D visualisation is desirable. Face Lab, led by Professor Caroline Wilkinson, is an
-
). Requirements Education Ph.D. in Structural Bioinformatics, Computational Biology, Biophysics, or related field. Essential Knowledge and Professional Experience Strong experience in protein sequence–structure
-
representation of varied disciplinary perspectives to expand the mathematical and epidemiological workforce. Postdoctoral researchers at APPEX will be expected to work with multiple working group teams, thus
-
or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command of English; knowledge of another
-
craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental