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based on these new bio-based aromatic monomers at Maastricht University, BIOPYRANIA shows that incorporating these building blocks into materials results in distinctive properties. Leveraging
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addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply. An employment contract for a period of 36 months with a scope of 1,0 FTE. At Maastricht University, the well-being of our
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of the leading modern-day health threats?! Then apply now for a position as a post-doc in the Molecular Cartilage Biology (MCB) group at the Department of Orthopedic Surgery at Maastricht University. Job
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. Expanding on previous studies of polyesters based on these new bio-based aromatic monomers at Maastricht University, BIOPYRANIA shows that incorporating these building blocks into materials results in
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PhD candidate: synthesis and evaluation of biobased covalent adaptable networks (project SusInkCoat)
generation of chemical developers for whom sustainability and circularity are core values. The task of Maastricht University is to develop biobased monomers and recyclable thermosets thereof, as
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PhD candidate synthesis & evaluation of biobased, responsive and self-dispersible waterborne resins.
circularity are core values. The task of Maastricht University is to develop biobased monomers and stimuli-responsive latex resins thereof via emulsion polymerization, as well as the chemical and physical
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contract via InterUM for a period of 6 months with a scope of 0.6 FTE. At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility
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potential. In our research team, you proceed with a theory-guided design of dashboards in combination with a student-centered co-design and a thorough statistical evaluation in field experiments. We will
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mimicking real materials will be generated, which will then be compared on a statistical basis with the real microstructures. Company sponsor In association with the Materials innovation institute M2i, Tata
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Microsoft Office, SPSS or similar statistical software, and preferably R or a similar (statistical) programming language You are a team player who wants to contribute to the research agenda of ESHPM. As a PhD