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Field
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construction. Position 2: CFD-driven digital modeling and thermal prediction The objective of this position is to refine the cooling system design and to develop a digital thermal model capable of fast and
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, in vitro reconstitution and characterization of multiprotein complexes, enzyme kinetics, high throughput biochemical assays and structural biology. Have a strong interest and background in
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, the candidate will develop structural MS approaches (HDX-MS, mass photometry, native MS and cross-linking MS) for the characterization of mulitprotein complexes. The goal is to provide conformational and
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pathways for complex glycan metabolism using a combination of biochemical, genetic, spectroscopic and structural biology approaches Performing bacterial genetic manipulation, protein expression and
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interaction? Which parameters and mechanisms govern the response of a lined tunnel? How can the complex, time-dependent behaviour of deep plastic clay and segmented concrete lining be captured in models
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chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic
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bioinformatic workflows, including diagnosing computational and analytical problems when established pipelines or software are not directly applicable. Experience working with complex, heterogeneous
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contributors and will be provided with comprehensive training to enhance their scientific, technical, and professional skills and experiences through a structured mentoring plan. While the primary location and
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compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure