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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
Deadline 23 Aug 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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- 21:59 (UTC) Country Netherlands Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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20 Jun 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Computer science » Modelling tools Engineering » Chemical engineering Engineering » Process engineering
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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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literature. Design and conduct a multi-method research program combining literature reviews, qualitative research, and behavioral experiments. Collect, manage, and analyze qualitative and quantitative data
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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
infrastructure and close collaboration between scientists, clinicians, and students. Its internationally recognised PhD programme provides strong supervision and training, fostering young researchers to bridge
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Engineering, Process Engineering, Computer Science, Mechanical Engineering, Environmental Engineering, or a related modelling field. Experience in process system modelling with good understanding of data-driven