Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Durham University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Inria, the French national research institute for the digital sciences
- UNIVERSITY OF HELSINKI
- University of Aveiro
- University of Florida
- ;
- Aalborg University
- Argonne
- Brookhaven Lab
- Brookhaven National Laboratory
- CNRS
- Delft University of Technology (TU Delft)
- Karolinska Institutet (KI)
- Linnaeus University
- Linneuniversitetet
- National Aeronautics and Space Administration (NASA)
- New Jersey Institute of Technology
- Rice University
- Stanford University
- Texas A&M AgriLife
- Texas A&M University
- Universidade do Minho
- University of Lund
- University of Luxembourg
- University of Sydney
- University of Thessaly
- Yale University
- 18 more »
- « less
-
Field
-
for three weeks of training in higher education teaching and learning. These tasks will be performed: Analysis of time series of active fire and burned area data together with ancillary datasets (e.g. biomass
-
3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with
-
Country Portugal Application Deadline 14 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 27 Oct 2025 Is the job funded through the EU
-
are groundbreaking for battery management and will make substantial advances in online explainable data-driven prediction for time series data. The specific tasks of this postdoc position will be to use active
-
Application Deadline 30 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Oct-25 Location: Upton, NY, Type: Full-time Categories: Academic/Faculty Internal Number: JR102073 Brookhaven
-
understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
-
ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image
-
areas is a great advantage: • Visual analytics of large data sets for decision support • Visualization of multidimensional and/or time-series data in combination with machine learning and/or data mining
-
Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 2 months ago
. - Strong background in mathematical modeling (preferably physiological systems) and/or control theory. - Experience in signal processing and artificial intelligence methods (time-series analysis, machine