315 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at Nature Careers
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receptor diversity and specificity, predictive modeling of immune responses, structure-based immune protein design, systems-level simulation of immune networks, and machine learning for precision
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crystallinity beyond the limitations of SHG and conventional methods. Advance complementary harmonic imaging (CHI) by combining polarization-resolved SHG and THG to access structural information inaccessible
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imaging and spectroscopy modalities Ultrafast and in situ/operando techniques Advanced detector technologies and correlative approaches that reveal structure–function relationships Contribute to and enhance
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. Excellent written communication and report writing skills. Desirable Knowledge, Skills and Experience: Demonstrated expertise in protein structural modelling. Demonstrated expertise in enzyme structure-guided
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and Construction, Environmental Services, Administration, Food Services, and Bio-Medical Engineering). This role has a direct impact on a visitor's first impression of the St. Jude campus and hugely
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. Successful delivery of these research objectives will require expertise in in silico protein analysis and structural modelling, mass spectrometry–based proteomic analyses (e.g., LC-MS, LC–MS/MS), nitrogen
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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opportunities through courses, e-learning programs, and coaching sessions Structured onboarding: A systematic introduction to your new role and team Healthy at work: A wide range of health and wellness programs
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quantitative imaging with AI-based analysis, applied to the investigation of diverse organs or anatomical structures. Most importantly, your research should combine strong medical relevance with translatable and
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly