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to develop new synthetic methods to make precise modifications to a drug’s skeleton with catalytic control, enabling it to bind its target and thus become an active drug. By innovating prodrug activation
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students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution
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capable of driving innovation within industry and society, contributing to the advancement of knowledge, and managing original research and development projects—independently bringing programs of strategic
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 23 hours ago
(e.g. geometric deep learning, generative models, representation learning) to decode molecular physiology, pathology, and therapeutic design? Are you passionate about high-throughput biology and scalable
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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As a research-intensive university, we’re of one of the UK’s top 30 universities for research quality TheCompleteUniversityGuide.co.uk . We encourage innovation and rising talent, enabling
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, an innovative initiative funded through the Strategic Alignment of Teaching and Learning Enhancement (SATLE) programme. The successful candidate will contribute to research and planning that enhances doctoral
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Innovation (TCPHI) research centre in the School of Nursing and Midwifery, Trinity College Dublin offers leading expertise: https://nursingmidwifery.tcd.ie/research/research-themes/index.php Areas of subject
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and