651 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"FEMTO-ST" positions at Nature Careers
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scanner. Our research covers a wide spectrum of imaging techniques, including molecular imaging, functional MRI (fMRI), spectroscopy, structural and connectivity imaging, molecular imaging, and image
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mouse models, and genetically engineered GBM models. Project 2: Develop hyper-hypermutant GBM mouse models and integrate them with patient-derived samples to study responses to emerging immunotherapies
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institutional goals. Maintain regular and predictable attendance. Minimum Education and/or Training: High school diploma/GED required. Associate or Bachelor's degree in science or engineering-related field
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applicants for a Staff Associate I position in one of our research units. Successful candidates will carry out assigned duties in the design of apparatus, the adaptation of relevant technology to the needs
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Utilising our world class facilities • multiple omics • cellular and sub-cellular imaging • biophysics • structural biology - cryo-EM • bioinformatics/AI • CL3 facilities All
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Sciences (DACS). DACS is an international community of approximately 100 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has more than
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W3-Professur für „Pandemic Preparedness and Zoonotic Infections“ // Full Professorship (W3) in Pande
candidates (desirable) Active participation in technology transfer, in collaboration with the TiHo Tech Transfer Office and Clinical Trials Unit Engagement in science communication, public outreach, and
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of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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computing machine-learning innovation in connection with large-scale simulation-based research and observational data conceptual and technical development of data engineering / lifecycle (handling, streams, flows