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clean-up technology. In the framework of the ROPSAM project (Potential of contaminant degradation by specific (clusters of) microbiota), we are looking for a motivated PhD candidate in the field
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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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, bioeconomics, environmental policy, risk assessment and modelling. YOUR JOB Here we advertise for one PhD position within the broader Trees4Adapt project. The PhD will focus on studying microclimate and
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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Job description PhD position – Wireless audio streaming About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and
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) is seeking a highly motivated PhD candidate to work on the ERC project SPACETWIN: Digital twins for understanding forest disturbances and recovery from space Doctoral fellow YOUR JOB Forests worldwide
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(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
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Job description ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most...
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Job description The Ectopic Mineralization Research Group (EMRg) within the Center for Medical Genetics at Ghent University Hospital has a vacancy available for a PhD fellowship on the following
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modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine