Sort by
Refine Your Search
-
seeks to enhance the robustness and efficiency of debiased machine learning methods. This PhD project will primarily focus on this latter component, in interaction with fellow researchers on this project
-
of debiased machine learning methods. This PhD project will primarily focus on the foundations of an assumption-lean modeling paradigm, with a strong focus on the analysis of repeated measures outcomes, in
-
, these methods are more and more combined with machine learning techniques. BIONAMIX is a team embedded in the department of data analysis and mathematical modelling in the Faculty of Bioscience engineering. We
-
, 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
-
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
-
, bioinformatics and machine learning, as well as high-throughput biology in the framework of gene regulatory networks. Our final goal is to use this knowledge in the development of novel preventive or therapeutic
-
analyses, survival analysis, machine learning). Job profile You hold a master's degree (preferably) in medicine, biotechnology, bioengineering, biomedical sciences, pharmacy or equivalent. Diploma
-
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
-
necessary at the start of the PhD. (4) You have a problem-solving, analytical mind, dedicated to overcoming technical challenges. (5) You have an open attitude towards learning, and are driven, hard-working
-
not necessary at the start of the PhD. (4) You have a problem-solving, analytical mind, dedicated to overcoming technical challenges. (5) You have an open attitude towards learning, and are driven, hard