15 deep-learning positions at Ghent University

PhD Student - Department of Environment

, Agriculture Engineering (not agronomy), or Biosystems Engineering Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and

PhD Student - Vakgroep Omgeving

and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling techniques. User of engineering

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

PhD Student - Department of Information Technology

Research staff Job description Vacancy: PhD position Deep Learning on Time series Data for Health Care ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is

(Postdoctoraal) wetenschappelijk medewerker (27034)

in English, both spoken and written Experience with original algorithm design that goes beyond the mere application of methods from literature is important. Expertise with (Deep) neural networks, (un

PhD Student

domains of clinical neurophysiology. Knowledge in the field of artificial intelligence deep learning and machine learning is highly appreciated. The candidate should be a collaborative, dynamic person who

PhD Student

Job description Vacancy: PhD position Deep Learning on Time series Data for Health Care ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is

PhD Student

inference and continuous learning of deep neural network architectures. These designs should be informed by the specific hardware configuration of embedded platforms. Cooperating with domain experts in areas

PhD Student

this stimulating environment and include predictive analytics, machine learning, deep learning, time series analysis, forecasting, explainability, anomaly/event detection, etc., with applications in various sectors

PhD Student

(not agronomy), or Biosystems Engineering Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and