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and near infrared, mid infrared and advanced machine learning and artificial intelligent modelling to enable accurate monitoring of nitrogen mineralization rate to enable understanding and improving
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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excellent predisposition to learn how to work with these data is a basic requirement). What we can offer you: The PhD appointment is full-time for 4 years (contingent on a positive evaluation after the first
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at national and international conferences. You may be asked to teach exercise sessions (in English) for a course taught by the department staff, or to help in the supervision of master’s theses. Your ultimate
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electric machine manufacturing or repair. The initial contract duration will be one year, in which you are hired as a PhD researcher. The contract can be extended to 4 years in total, under the condition
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) and T cells therapies (CAR-T) for cancer patients. These pharmaceutical products are cell and gene therapy products or advanced therapy medicinal products (ATMP). We recently finalized a phase I
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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