Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of A Coruña
- CNRS
- Institute for bioengineering of Catalonia, IBEC
- Nature Careers
- Universidad de Alicante
- University of Innsbruck, Institute of Computer Science
- University of Luxembourg
- University of Texas at Austin
- Brookhaven National Laboratory
- CIC nanoGUNE
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Charles University, Faculty of Mathematics and Physics
- Columbia University
- Edmund Mach Foundation
- FCiências.ID
- Heidelberg University
- Institute for Basic Science
- Institute of Nuclear Physics Polish Academy of Sciences
- Leibniz
- NTNU Norwegian University of Science and Technology
- Newcastle University;
- RAEGE-Az
- Susquehanna International Group
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- Universidade de Coimbra
- University of Groningen
- University of Jyväskylä
- University of New Hampshire
- University of Newcastle
- University of Texas at El Paso
- University of Tübingen
- Universität Siegen
- 24 more »
- « less
-
Field
-
preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
-
, Edge, IoT)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other programming languagePractical
-
systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We
-
Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
-
their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated
-
internationally. Main Responsibilities · Contribute to the installation, calibration, and validation of radio monitoring equipment. · Develop and test real-time data pipelines and deep learning algorithms for Solar
-
algorithms to extract clinical indices and provide new digital biomarkers for sleep medicine. The aim of the project is to develop new algorithms and tools of Digital Health for non-invasive, home-based sleep
-
: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
-
: Multibody system dynamics Grant/funding period: START: 01/09/2023 END: 31/08/2026 Centre of Principal Researcher: EPEF PURPOSE OF CONTRACT: Development and experimental validation of data fusion-based methods
-
, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and