Sort by
Refine Your Search
-
difference and boost your academic career! The overall aim of ’The Power of Size’ is to establish relationships describing the emission, fate and effects of pollutants as a function of size. We intend
-
; Contribute to the development of machine-learning models for classification and routing of complex electrolyte mixtures; Translate experimental data into Digital Product Passport-compatible formats and
-
approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability
-
to design these agents and AI techniques to analyze text entries (and text entries obtained from the audio) obtained from human-agent and human-human interactions to construct the domain models and
-
research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
-
-personalised services - as Large Language Models become widely accessible, they're reshaping how we live, work, play and connect. This rapid shift sparks big questions: Whose norms and values shape this AI
-
mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not
-
at the laboratory of Food Process Engineering, you will play a pivotal role in the EU Future Foods project. You will bridge experimental and modelling results in order to arrive at microfluidic device that can be
-
working with large datasets, modelling, and developing innovative ideas? Are you a creative researcher looking to build your profile for future career opportunities? If so, the Landscape Dynamics group is
-
the regulatory interactions regulating suberin biosynthesis in different root cell types? And are you interested in combining gene expression analysis with developing new experimental methods, such as TurboCas