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, and our goal is to generate knowledge that supports both animal dignity and economic viability. We use innovative technologies such as sensor technology, big data analytics, AI, and microbiomics. Most
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, with the aim of contributing knowledge that supports both ethical and economically viable animal farming. We employ innovative technologies such as sensor technology, big data analysis, AI, and
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projects in the marine domain. We envision that you harness the power of AI, specifically in computer vision applications, as well as sensor technology to enhance fisheries, aquaculture and ecological
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and being substantively involved as a researcher; Building relationships with clients and maintaining a network of stakeholders in the sector; Data analysis, reporting, and presenting results both in
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advantage if you can provide a link to a code repository of a project where you are the main contributor.- Experience in implementing machine learning methodologies, specifically neural network-based methods
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standards in key decisions. Serve as a liaison to internal, national, and international networks in the field of biosafety and biosecurity. Support communication and reporting to internal governance bodies
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network; proactively look for new opportunities in e.g. PPS- and EU-calls and write proposals in the field of (phyco)toxins. Your team The team in which the position is vacant, conducts research on plant
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multidisciplinary project teams. Your qualities You are a result-oriented and enthusiastic researcher with a passion for scientifically applied research and a network in the Dutch pig production sector. Your
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advise the European Commission on analytical methods for enforcement of legal limits; build and maintain an (inter)national scientific network with relevant people and organizations; participate in (inter
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a pan-European Marie Skłodowska-Curie Doctoral Network (DC) with 18 PhD candidates aimed at understanding the specific tumour cell-immune host interactions at the metastatic site to identify new