Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices. Development and evaluation of point and
-
segmentation, normalization, and feature extraction in the time, frequency, and time-frequency domains. 4) Development and training of machine learning and deep learning models (such as SVM, Random Forests, CNN
-
environment. 4) Development of machine learning and deep learning models for forecasting reduced visibility, low cloud ceilings, and adverse weather conditions impacting air operations. 5) Implementation
-
the PORTUGAL2030 Programme, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out aims at the research and development of Computer Vision and Machine/Deep Learning algorithms
-
staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Fellow / Senior Research Fellow in Machine Learning Discovery of Flow Reactor or Microreactor Designs Job
-
. The role will support multidisciplinary work on immersive AI systems for therapy, rehabilitation, research and human-machine interaction, with responsibility for the physical and technical infrastructure
-
. Applications start date: September 4, 2026 Applications end date: October 4, 2026 or until the position is filled Where to apply Website https://docs.google.com/forms/d/e
-
-resolution or single-molecule imaging. ● Experience with machine learning/deep learning for bioimage analysis, including model application, validation and/or development. ● Experience with optical development
-
://career.admo.um.edu.mo/learn-more/. Application Procedure More details about the job vacancy can be accessed at https://career.admo.um.edu.mo/. The University has appointed Odgers Berndtson to provide consultancy service
-
problems (e.g., optimisation, simulation, statistical analysis, or applied machine learning). ; - Participation in R&D projects with links to real-world or industrial contexts. ; - Relevant scientific