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- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Published 7 Nov ’25
- Princess Máxima Center for Pediatric Oncology
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- Wageningen University & Research; Published today
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work in seasonally dry Chiquitanía forest and evergreen wet Amazon forests in Bolivia. PhD project 1 will assess the mechanisms underlying forest resilience (resistance and recovery) to fires. The PhD
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complex is assembled and uncover the mechanism by which it translocates folded proteins. The position involves both wet and dry lab experimentation. Using state-of-the-art molecular and biochemical methods
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forest recovery across the tropics (2) a landscape study in dry and wet Mexican forests to assess how quality of the landscape and the focal patch affect the diversity of animal dispersers and how they, in
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creativity and a strong affinity for wet lab science. A solid background in molecular pathways and techniques, as well as experience in molecular and cell biology analyses. Additional Information Benefits A
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components), and consumer products (e.g. in sporting products). The natural fibers used in these composites are sensitive to moisture-induced and chemical degradation. Moreover, they exhibit a high degree of
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biomedical engineers that collaborate in a close-knit team. The lab hosts a range of state-of-the-art single-molecule microscopes in optical laboratories, as well as wet-chemical labs for sample preparation
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. Demonstrated wet lab experience is essential. NGS experiments or advanced imaging, such single cell or spatial transcriptomic experiments, is preferred. Knowledge about immunology and/or (pediatric) brain tumor
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the resistance and recovery of tropical trees and forests, and will work in seasonally dry Chiquitanía forest and evergreen wet Amazon forests in Bolivia. PhD project 1 will assess the mechanisms underlying forest
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existing team of four aquatic scientists. We seek an aquatic ecosystem modeller who integrates this expertise with real-world “wet boots” and experimental experience. The successful candidate will conduct
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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling