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fish detection technologies to support fish monitoring and more selective and sustainable flatfish fishing. This Postdoc project is supported by the Ministry of Agriculture, Fisheries, Food Safety and
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supported by the Ministry of Agriculture, Fisheries, Food Safety and Nature of the Netherlands, Wageningen University, and Wageningen Marine Research. It aims to develop: (1) a validated prototype of an
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, and you are expected to develop showcases for this new platform, and develop ideas to implement in a business. For this you will learn and exchange ideas within the Biotech Booster community
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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production and security. Traditional practices such as livestock farming and fishing are deemed unsustainable due to their resource-intensive nature and adverse environmental effects. Therefore, there is an
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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particularly relevant to develop practitioners-oriented technical safety standards. This may include best or recommended practices, protocols, and guidelines for supporting practitioners working
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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apply online. We will not process applications sent by email and/or post. A pre-employment screening can be part of the selection procedure. For the final candidates, a knowledge security check will be
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. For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8 of the National Knowledge Security Guidelines . We