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Field
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental systems to match supply with fluctuating
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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flow and motility. We combine microbial physiology and host modeling to uncover the ecological principles of host–microbe interactions, focusing on spatial structure, metabolic interdependence, and
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measures on businesses? Are you keen to delve into the sustainability of agricultural value chains? Or would you prefer to develop our macroeconomic models? All of this is possible. The focus is on projects
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prediction models and risk assessment frameworks describing the dynamics and interactions of spoilage microorganisms and pathogens including Listeria monocytogenes and Bacillus cereus in plant-based products
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innovation discovery funnels (IDF), IP valuation frameworks, and business model development (e.g., Lean Canvas, Osterwalder’s Business Model Canvas)—to assess feasibility, market fit, and commercial potential
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of plant abiotic stress tolerance. You think critically and creatively, work in an organised and efficient manner and thrive as a collaborative team player. You fit well with the position’s profile as
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preclinical in vivo animal models? Then this position might be perfect for you! Join us! We are looking for a highly qualified and motivated PhD candidate to conduct research activities aimed at unravelling
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modeling to uncover the ecological principles of host–microbe interactions, focusing on spatial structure, metabolic interdependence, and functional adaptation of microbiota in health and disease. As