Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Imperial College London
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ICN2
- Susquehanna International Group
- Technical University of Munich
- CNRS
- CSIRO
- DAAD
- Drexel University
- Heraeus Covantics
- IMEC
- McGill University
- Purdue University
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of Cambridge;
- University of Central Florida
- University of Glasgow
- University of Luxembourg
- University of Maryland
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Newcastle
- University of Oslo
- University of Pittsburgh
- University of Texas at Austin
- Universität Düsseldorf
- Uppsala University
- 22 more »
- « less
-
Field
-
-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research
-
the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
-
in the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation
-
Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
-
An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
-
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
-
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
-
imaging phantom-based evaluation of quantitative SPECT/CT; reconstruction algorithm development; establishing a secondary standards laboratory for unsealed source metrology through gamma spectrometry
-
Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
-
of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using