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microphysiological systems, perfusion platforms, and advanced human in vitro models Cell culture and functional characterisation of bioprinted constructs Your profile Master’s degree (or equivalent) in biomedical
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 7 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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city that provides an ideal environment for combining cultural and family activities with an active lifestyle. Where to apply Website https://jobs.50skills.com/ru/is/44241 Requirements Research
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challenges in human health. We are looking for a motivated candidate with an interest in understanding how cancer cells adapt to cellular stress and maintain homeostasis, and how these adaptations can create
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behaviors; 2) body image development; and 3) sexuality development. Additionally, mental health and psychological well-being will be jointly studied with the postdoctoral researcher. PhD candidates will be
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procedures for yourself and, if applicable, for your family. Feeling welcome also has everything to do with being well informed. Wageningen University & Research's International Community page contains
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of annual renewal. Renewal will be determined based on factors including work performance and conduct, the workload at the end of the appointment period, the progress of the work being undertaken, and the
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their historical contexts from prehistory to the present. Our faculty is home to more than 6,000 students and 800 staff members. For more information see: https://www.universiteitleiden.nl/en/humanities . Diversity
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underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality diversity.htm and also our award-winning work in Disability Inclusive Science Careers https
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research problem in its own right, advancing both the conceptual foundations and computational tools for assessing NLP systems in ways that are reliable, valid, and human-centred. Application domains include