Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of A Coruña
- CNRS
- Technical University of Cluj-Napoca
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Institute for bioengineering of Catalonia, IBEC
- Susquehanna International Group
- Universidad de Alicante
- University of Cambridge;
- University of Groningen
- University of Newcastle
- University of Texas at Austin
- Brno University of Technology
- Brookhaven National Laboratory
- CSIRO
- Carl von Ossietzky Universität Oldenburg
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Charles University, Faculty of Mathematics and Physics
- Drexel University
- Edmund Mach Foundation
- FCiências.ID
- Heraeus Covantics
- Imperial College London
- Leibniz
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Nature Careers
- Newcastle University;
- RAEGE-Az
- The Medicines And Healthcare Products Regulatory Agency;
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of Florida
- University of Glasgow
- University of Groningen; Groningen
- University of Luxembourg
- University of Minnesota
- University of New Hampshire
- University of Tübingen
- 30 more »
- « less
-
Field
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
-
are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
-
require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
-
, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data
-
Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
conservation related consequences of animal navigation, and (4) links biological and technical systems through models, algorithms, and devices. The acquired knowledge can help to solve major societal questions
-
deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
-
of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
-
scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
-
. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
-
, including data obtained from camera trapping and large databases containing data on the movement of species tracked by GPS. · Statistical analysis of data in R, which includes programming of algorithms