Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
at both national and international levels, as well as the assessment of their application in spatial solutions, with a special focus on wood, metal, and fiber-based technologies; Design of prototype spatial
-
24th February 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Experimental Fluid Mechanics - Combustion Instabilities
-
sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
-
. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
-
, inclusive research culture. For 2026 entry, our offering consists of 3 Collaborative Doctoral Awards (CDAs) as detailed below. Application deadline: 30 April 2026 Application process Applications
-
The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
-
partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
-
relate to processing-relevant traits such as fry quality, yield, and waste? The project will take an integrated approach combining advanced imaging, quantitative phenotyping, and genetics. A high
-
a set confidence level, typically 90% probability of detection. This project aims to take a radically different approach and integrate the array images with structural integrity assessment to predict
-
(structural MRI, diffusion-weighted imaging, functional MRI), advanced connectomics, and receptor-enriched modelling to characterise individual differences in language organisation across healthy participants