64 machine-learning-phd positions in Spain

PhD. Candidate – Machine Learning and Artificial Intelligence for Forensic Non-Human DNA Recognition and Interpretation

machine learning offer a great opportunity to effectively extract evidence that will need to be calibrated in the form of a LR for presentation in court. Some members of the network, including the Ph. D

PhD in Image analysis and Data modelling for advanced microscopy applied to biomolecular systems (Barcelona)

Localization Microscopy (SMLM), particle tracking and cryo-electron tomography (cryo-ET). The measurements will be integrated using machine learning and data modelling. Our lab combines cell engineering and

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

5 PhD Positions at Universidad Autonoma de Madrid, Spain.

research in Computer Vision and Machine Learning and the potential applications to Biometrics, Explainability, Security, and Media Forensics (among others)? If so, we have the perfect opportunity for you! We

HRS2024/142 Ayudante de investigación /Research Assistant

Tensorflow.- High level knowledge of fluid mechanics, machine learning and modal decomposition algorithms. - High level knowledge of data analysis algorithms in fluid mechanics. - High level  knowledge

Applied Machine Learning Scientist III

Requirements/Preferences -4+ years' experience in Machine Learning, Data Science roles in SaaS or consumer companies. -A master's degree or PhD in computer science, machine learning, information systems

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

Funded PhD in Securing Systems Software

, and refining methods to transform insecure code into secure code, possibly employing machine learning or AI. Candidates may delve into binary software or source code leveraging compiler toolchains

High Level Support Team (HLST) - Senior technical engineer (RE1-2-3)

of the scalability and performance of selected European scientific applications and tools towards Exascale, Data Analytic and Machine learning as well as code refactoring. Key Duties Optimize and adapt scientific