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Field
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Innovation Leads Research Fellows (RFs) and Research Engineers/Assistants (RE/RAs) in the end-to-end development and productisation of solutions, including experimental design and prototype validation. Lead
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to their host and antibiotics and to translate these insights to develop innovative approaches to prevent, treat and diagnose bacterial infections. In particular, we are interested in understanding: i) how single
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, image processing, or optical instrumentation. Fluency in English, both in scientific communication and in the writing of reports and research articles. Workplan and objectives to be achieved
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mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging · Tumor evolution and therapeutic response modeling Research
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childhood cancer The lab has extensive expertise in: · Human primary mammary epithelial cell systems · Mouse and genetically engineered cancer models · High-content and live-cell imaging
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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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contribute to a collaborative, interdisciplinary research culture. The candidate must have: A PhD in Electrical Engineering, Applied Physics, Robotics, or a closely related discipline. Strong background in
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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