Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, please contact the supervisors: Dr Samantha Islam - samantha.islam@manchester.ac.uk and Prof Paul Mativenga - p.mativenga@manchester.ac.uk . Please include details of your current level of study, academic
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
-
for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
-
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 14 days ago
to the development of methods to investigate, model, and understand brain networks and how they give rise to human behavior and cognition. Current projects are centered around non-invasive brain stimulation
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
-
to your scientific expertise in the Laboratory of Molecular Cardiology based at the University Hospital, Münster, University of Münster led by Prof. Holger Reinecke- ideally with you on board! PROJECT TITLE
-
, understand, characterise, and model the effect of surface roughness on wall turbulence when out of equilibrium. Particular emphasis will be made on determining if any form of flow similarity exists across
-
bring together different disciplines and perspectives to foster the sustainable management of mountain forests in the Alps. The current position will be part of the Center for Forest Management in the Alps, and
-
scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link