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. Objectives: This PhD project aims to prepare and characterized nanostructured biofilm-repellent surfaces on titanium dental implants to evaluate the clinical performance of biomimetic and personalized
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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consideration the elements presented for the last five years of activity falling within the scope of the specific areas of the tender (see Point 1) and will be performed according to the following criteria: 11.1
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
functional assays such as cytotoxicity assays, ELISPOT, ELISA and cytokine release assays. Design and execute experiments in mouse models and assess efficacy of therapeutics. Perform histological analysis
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for the remaining 2,5 years assuming everything goes well and performance requirements are met. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities , increasing from
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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metals. The project will engineer and evaluate catalytic proteins that perform difficult transformations, with particular emphasis on (a) activation of O2 and related reactive oxygen species and (b) novel
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and establish tighter, more intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect