Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
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
-
funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 28240/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
, time series filtering and analysis, turbulent heat fluxes, Reynolds averaging, direct covariance fluxes and bulk flux algorithms. Transferable Skill Development OSU is committed to ensuring students
-
applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
-
University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | about 2 months ago
23 Oct 2025 Job Information Organisation/Company University Centre for Energy Efficient Buildings, Czech Technical University in Prague Research Field Computer science » Computer hardware Computer
-
University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | about 2 months ago
25 Oct 2025 Job Information Organisation/Company University Centre for Energy Efficient Buildings, Czech Technical University in Prague Research Field Computer science Researcher Profile Recognised
-
22 Oct 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
-
24 Sep 2025 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
-
PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms, or applications. (2) Proven engineering expertise: Hands-on experience
-
collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive