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software developed concurrently by a postdoc in our team. The successful applicant will be an integral member of the GreenTE community, which offers an open, diverse and inspiring environment to engage in
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-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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of Twente, and TU Eindhoven, as well as industrial partners that specialize in greenhouse design and installation, plant breeding, climate control, sensing and monitoring with microdevices, software
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is preferred; Experience with performing and/or designing
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
skills in biostatistics, including the ability to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease