10 machine-learning-phd positions at Wageningen University and Research Center in Netherlands
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and Synthetic Biology (SSB). You will set up and maintain a research line on the development of machine learning, neural networks, deep learning and/or AI technologies (theoretical and/or applied) with
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walls for construction? Then you might be the PhD candidate we are looking for! Information about the project As a PhD candidate, you will use various techniques to investigate fiber-reinforced structures
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in physics or computer sciences or related is also a good basis for this position. You love writing Python code, you are not afraid of large datasets, and want to dive into machine learning to better
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Global Nutrition runs several smaller and larger research projects, from PhD projects to larger research projects financed by the EU or CGIAR in collaboration with many partners, both globally and from
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behaviour, i.e. fishers. For this we use (experimental) field and lab data, mathematical models and computer simulations. Your qualities You are results-oriented, constructively critical yet realistic and
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eager to enter these fields. Your deep understanding of AI will enable you to teach the principles of intelligent algorithm design, machine learning, and data analysis. Concurrently, your background in SE
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the English Language. More information can be found here . A PhD is a learning trajectory. If you do not yet have a track-record showing all the requirements but do have a strong motivation to acquire the skills
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in relation to short- and long-term health outcomes. To study these high-dimensional and complex data, you will apply state-of-the-art data-analytical techniques, such as machine learning methods
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activities should intersect with bioinformatics and/or multilevel/multiscale modelling with a strong emphasis on the theoretical development and application of machine learning, neural networks, deep learning
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, Industrial Biotechnology and/or Digital Twins, or in a relevant field; prior expertise in machine learning and data models with focus on biotechnology; excellent programming skills in Python are essential