Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
-
-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
Technology » Biotechnology Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 6 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Permanent Job
-
efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
-
prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
-
and biomolecule release. We are seeking motivated, creative individuals who are interested in conducting hands-on experiments to evaluate and optimize the performance of this technology, including
-
7 Nov 2025 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Electronic engineering Researcher Profile First Stage Researcher (R1
-
, we want to hear from you! What You'll Do You will work with study coordinators, engineers, scientists and other members of the project team on a research study gathering detailed size, shape, body
-
experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is