Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ICN2
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- Center for Machine Learning Research (CMLR), Peking University
- Centre for Genomic Regulation
- China National Center for Bioinformation
- Computer Vision Center
- Heidelberg University
- Huazhong Agricultural University (HZAU)
- IFIC
- Innogen Pharm
- PONS Fudan
- School of Quantum at the University of Chinese Academy of Sciences (UCAS)
- ShanghaiTech University
- UNIOVI
- Universidad Carlos III de Madrid
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat pompeu fabra
- University of Chinese Academy of Sciences (UCAS)
- 8 more »
- « less
-
Field
-
Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with
-
. The QML-CVC team (https://qml.cvc.uab.es/ ) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer
-
areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced
-
methods for uncertain data, including variational autoencoders for the generation of coherent surrogate datasets with incomplete or imprecise information. Implementation of similarity-based learning and one
-
Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas
-
. Collaborate with members of the research team in maintaining documentation, protocols, and research workflows. Where to apply Website https://apply.interfolio.com/190159 Requirements Research FieldLanguage
-
The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
-
Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
-
-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
-
/MS workflows, spectral library searches and data curation. Search the scientific literature for suitable protocols and systematically test promising approaches to improve sample preparation. Learn