Water is the matrix of our planet. Not only human societies, but all forms of life, are dependent on water. And while we still take its availability largely for granted, it is a resource which is becoming scarcer by the minute owing to climate change,  intensive agriculture, and access inequalities to water for drinking, cooking, and personal hygiene.

The aim of this 2-days meeting, is to bring together experts working on innovative AI methodologies, for example: Physics-Inspired Machine Learning, New Statistical Approaches, Quantum Machine Learning, Bayesian Methods, Neurosymbolic Methods, Symbolic AI, Automated Theorem Proving, Probabilistic Programming Languages, Algebraic Machine Learning, Category Theory applied to AI.

Date: 3-4 February, 2025

Further information on the official website.

Higher calorie foods were preferred among individuals with and without obesity despite similar taste and texture, according to a study published December 17th in the open-access journal PLOS Biology by Albino Oliveira-Maia from the Champalimaud Foundation, Portugal, and colleagues.

Precursor lesions of pancreatic cancer are very difficult to characterise with magnetic resonance imaging (MRI). But now, in a new study, researchers led by Noam Shemesh and Carlos Bilreiro – respectively head of the Preclinical MRI lab at Champalimaud Research and a doctor at the Champalimaud Clinical Centre’s Radiology Department – have shown, for the first time, that a particular form of MRI, called Diffusion Tensor Imaging (DTI), is capable of robustly detecting pre-malignant lesions in the pancreas.

Offer Description

- Responsible for clinical / patient data acquisition and management;
- Managing data for complex studies within agreed timescales;
- Responsible for implementing systems to monitor timeliness of data entry;
- Manage a team of data staff to ensure data is entered and site files are managed providing a high-quality data service to Principal Investigators and study teams. Responsible for clinical / patient data acquisition and management;
- Managing data for complex studies within agreed timescales;