636 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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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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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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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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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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thinking critically with a systemic view. Shows expertise in taking a structured approach to analyze and resolve issues. Able to distinguish between different sets of issues, set priorities, and make
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
: Possibility of an interest-free loan to buy an e-bike • Tailor-made education: Subsidized further education and training • Systematic start: Structured induction • Healthy at work: Numerous health promotion
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develop more efficient ways to sustainably convert CO2 . This knowledge will be generated in a scale-bridging approach (from the atomic structure of enzymes to the systems level of the cell) through highly
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imaging technology (including Fibroscan, ultrasound with elastography, DEXA, CT including spectral CT, MRI including spectroscopy and elastography). The successful candidate is expected to actively
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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
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learning or artificial intelligence). A successful candidate will leverage the available instrumentation in our Molecular Education, Technology and Research Innovation Center (METRIC) instrumentation