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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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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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in nature, including additive manufacturing, computer simulations, materials testing, and characterization of 3D structures using tomographic techniques. You will also work with architects, designers
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solutions. Together with our data scientists and machine learning experts you will help integrate our models and algorithms into a software solution that further benefits our research goals. This may be by
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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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, researchers, and other stakeholders in LMICs; excellent writing and editing skills, and fluency in spoken English; excellent computer skills, including experience with program management software; excellent
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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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, evolutionary biology, applied mathematics, or another relevant field; some experience with computer programming; affinity with the development of mathematical and/or individual-based models and their application