9 machine-learning Postdoctoral positions at Universitat de Barcelona in Spain

Postdoc position in Network Science- Machine Learning

work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of

Postdoctoral position in Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings – AIMIX

seeking candidates with a PhD degree and expertise in an area pertinent to the project and experience in: Machine/deep learning algorithms Biomedical informatics Computer Science Expertise

Postdoc position in Computational Large-scale Characterization of Spin Crossover Molecular Switches. Towards an Atlas for Materials Discovery

Programme? European Union / Next Generation EU Reference Number CEX2021-001202-M Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and train machine learning

Senior Researcher in Ecological Macroeconomics – MAPS (Position 1)

related to modelling (e.g. integrated assessment models, stock–flow consistent models, system dynamics, input–output analysis, econometrics, machine learning, material/energy flow analysis, etc.) Motivation

Postdoctoral Researcher in Input–Output and Time-Use Analysis - MAPS (Position 2)

programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc

Two Data Science Postdoctoral Researchers in Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings – AIMIX

PhD degree and expertise in an area pertinent to the project and experience in: ‐ Machine/deep learning algorithms ‐ Biomedical informatics ‐ Computer Science - Expertise on the implementation and

Postdoctoral position in ecological macroeconomics - ToBe

, provisioning systems, input–output analysis, system dynamics, machine learning, and/or material flow analysis is desirable. Experience with existing ecological macroeconomic models (e.g. PyMedeas, EuroGreen

Postdoc on Bayesian Monte Carlo for Photo-Realistic Rendering

++, Python and/or Matlab. Experience in Rendering techniques and/or Machine Learning is highly valued. Experience with Monte Carlo methods is also a plus. Work Environment The work will be developed within

Postdoctoral position in Reducing bycatch of threatened megafauna in the East Central Atlantic - REDUCE

assess and tackle policy challenges. The expansion and improvement of the observer programmes and the advances in electronic monitoring and automated machine learning systems will enable species-specific