Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts. This fully funded PhD position
-
rewiring in glioma. We will leverage our expertise in genetic engineering and m6A profiling, and characterize the specific metabolome and lipidome composition of glioma. We will assess the impact of m6A
-
, aerodynamics, structures, and manufacturing to support integrated design and optimization activities within an international consortium. · Contributing to technical reporting, dissemination of results
-
focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
-
research Sociology of knowledge (construction and co-production of social categories and norms) Critical perspectives on sustainability, equity, human and social rights Your tasks Develop a PhD project
-
The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative
-
of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction
-
Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
-
of the industry partner for a varying range of data types (both structured and unstructured data). The proposed solution aims to address the key challenge of balancing data utility with privacy by developing
-
, evaluating market structures and policies, and developing recommendations to support reliable supply, energy communities, and innovation. The candidate will also explore regulatory obstacles to a data-driven