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Field
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: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling
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appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Technology Systems at Kjeller, Lillestrøm. Job description The Martian atmosphere is a
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foundation models, fine-tuning & prompt engineering Physics-Informed Neural Networks & hybrid models Deep Reinforcement Learning for process optimization GANs, VAEs, diffusion models for synthetic data
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diseases. Exploring molecular mechanisms linking to cancer, obesity, liver, women diseases using a combination of biochemical and molecular techniques in cultured cells, xenografts, and engineered mouse
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applicants who receive their PhD less than one year prior to their start date. Fellows from a diversity of disciplines — from groups who have traditionally been underrepresented in science, technology
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environmental, social, and economic dimensions. Key Responsibilities Applied Research and Innovation Leads Research Fellows (RFs) and Research Engineers/Assistants (RE/RAs) in the end-to-end development and
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. Any ad-hoc duties assigned by Supervisor. Job Requirements Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong
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Profile: • PhD in chemistry, materials science, chemical engineering, mechanical engineering or a related discipline • Strong experimental and/or computational background in laboratory automation, robotics
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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an accredited college or university with a PhD in one of these fields of study: Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Physics, Engineering, or an equivalent degree