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the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/359808/phd-position-on-memory-sleep-an… Requirements Additional Information Website
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/behavioral-health/ ) is a joint effort of IUSM Departments of Pediatrics (https://pediatrics.iu.edu ) and Psychiatry (https://psychiatry.medicine.iu.edu ). Core faculty include Matthew Aalsma, PhD; Zachary
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with support by the other team members Dr. Laura Righetti and Prof. Han Zuilhof. The PhD project is a collaboration with Wageningen Food Safety Research . Where to apply Website https
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. Description: Work with co-mentors Joshua S. Alwood, PhD, and April E. Ronca, PhD of NASA Ames Research Center in Moffett Field, CA. The NPP fellow will benefit from this valuable and diverse experience and
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Conduct a PhD within the frame of an innovative and interdisciplinary research project funded by the German Research Foundation DFG Interact with a wide network of peers, scientists and stakeholders both
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry
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-dependent MLCS regulation on lysosomal trafficking, mitochondrial quality control and hypoxia-induced cell death. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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will be decisive). The Selection Committee may decide to conduct interviews with candidates. Eligibility criteria A doctoral degree (PhD) in the field of Engineering and Technical Sciences, in
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the fields of clinical epidemiology, social and behavioral health, biostatistics, and international and environmental health. The ISPM is highly reputed for its expertise in health effects of environmental
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mechanisms. The objective of this PhD project is to develop AI-based surrogate models for microstructure-aware macroscopic mechanical behavior by leveraging the large datasets generated within the AMMETIS