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/ translate animal-model insights to morphogenesis and evolution / collaborate in the innovative TREE Lab Apply now to drive impactful developmental biology research and accelerate your postdoctoral career in a
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details, please view: https://www.ntu.edu.sg/eee We are looking for a highly motivated Research Fellow to drive independent research in next-generation electrochemical energy systems; support
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, and integrated imaging-therapy platforms Translational immunotherapy — combining ultrasound priming with CAR T and other cellular therapies for solid tumors What We Offer Competitive NIH-scale salary
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current wording. https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf Regulations for Research Grants of the Foundation for Science and Technology in force https://www.fct.pt/wp-content
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electronics and circular economy technologies. The role will focus on translating industry needs into funded research projects, demonstrators and innovation programmes. You will design with tools such as life
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microscopical information and are translatable to humans. You will specifically work on data integration and biophysical modelling to make the most of the wealth of information in the multi-modal datasets
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 16 days ago
and genomic datasets. The appointee will be part of a translational team and work closely with cardiovascular scientists, immunologists and clinical colleagues. It is hoped that together, the group will
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
translational platforms to advance engineered Treg therapies into clinical trials Supervising undergrad students, junior graduate students and technicians in the lab. Developing, writing and editing funding
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microscopical information and are translatable to humans. You will specifically work on data integration and biophysical modelling to make the most of the wealth of information in the multi-modal datasets
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https