10 machine-learning-phd Postdoctoral research jobs in Belgium

Postdoc position in Sustainable Data-centric Control

Machine Learning Data science and information theory Network science and multi-agent systems Context: UCLouvain is a comprehensive university offering the opportunity of conducting cross-disciplinary

Post-Doc researcher for in-silico study of sustainable decoating methods of PVD thin films (F/M/X)

3 Jun 2024 Job Information Organisation/Company Université de Namur Department Physics department: Research unit for analysis by nuclear reactions (LARN) Research Field Computer science » Modelling

Vacancy for a postdoctoral researcher in the field of predictive and prescriptiv

. Teach possibly 1 course of up to 6 ECTS. Assist in the guidance of 2-3 PhD candidates on a similar topic. Lead or support grant writing for additional (postdoc) funding proposals. Supervise 4-6 MSc

Postdoc positions in non-conventional photonic computing for telecom and combinatorial optimisation

Description We are looking for several highly motivated PhD and/or postdoc candidates with a background in photonics and an interest in machine learning or in combinatorial optimisation, for several research

Vacancy for a postdoctoral researcher in the field of predictive analytics

will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on

Postdoctoral Researcher in Plasma Etching Microfluidic Devices

. MICROLAB has a floorspace of 550 m², of which 300 m² will be equipped with the most advanced machines for every essential production step in microfabrication. µFlow Cell is now looking for a postdoctoral

Postdoctoral fellow - Department of Environment

languages, such as, MATLAB Toolbox, LabVIEW, DaisyLab, AutoCAD, C++….. Advanced knowledge in sensing technologies and measurement systems. Advanced knowledge in machine learning, deep learning and data fusion

Postdoc position in computational neuroscience and machine learning

are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive

Researcher

on the topic the development of a machine learning-based powertrain digital twin and smart preconditioning for fast-charging applications. Tasks include: Simulation of the map-based and data-driven powertrain

Postdoctoral fellow

languages, such as, MATLAB Toolbox, LabVIEW, DaisyLab, AutoCAD, C++….. Advanced knowledge in sensing technologies and measurement systems. Advanced knowledge in machine learning, deep learning and data fusion