Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
covers thermo-mechanical, electrical-functional and system AIV engineering domains. Duties Your tasks and responsibilities as a TEC-SYA team member will include: providing expert technical support and
-
question. You will be leading the development of the core computational mechanism for this novel GeoQA system. In this project, you will: design and test conceptual or cognitive models for geodata sources
-
, as well as expertise in generating hypotheses on molecular mechanisms derived from omics data. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
-
communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
-
” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel mechanics at the atomic scale. In this project, the University of Groningen will develop an array
-
applications in regenerative biomedicine. Understanding the multiscale regulatory feedbacks between genes, proteins, cell behaviours, and tissue-scale mechanics is a major challenge. You will tackle
-
This post is part of ESA’s Junior Professional Programme. We are looking for enthusiastic candidates with up to 2–3 years of relevant professional experience after their Master's degree to join ESA
-
space flight mechanics, advanced guidance and navigation and space systems in general. Candidates are encouraged to review the team’s previous projects and are expected to expand this domain by exploring
-
their escape responses to various acoustic, optical, and mechanical stimuli; the other at Delft University of Technology, working on the engineering aspects of fluid-dynamics-based stimuli. Additionally, you
-
structured data that prevails in governments, humanitarian organizations, enterprises, and healthcare. The anticipated research will focus on developing mechanisms for reliable and responsible AI-powered data