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Field
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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targets Development of multispecific and multivalent peptide vaccine platforms Peptide conjugation using click chemistry and advanced linker technologies Structural design and optimization of conformational
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well as to investigate protein–ligand interaction properties; performing protein crystallization and crystal optimization using the robotic facility available in the Structural Biology Laboratory; providing samples and
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to have published in leading machine learning conferences or similar venues. One or two PDRAs will be recruited to work within one of, or across, the four research themes: Learning with Structured
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the laboratory and design experiments, optimize microfluidic workflows and troubleshoot complex experimental challenges. Strong and fluent written and verbal communication skills in English (minimum B2 level). A
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, immunoblotting, ELISA, cloning and vector construction, CRISPR-based gene editing) and cellular assays (primary and tumor cell culture, bacterial culture, co-culture and immune functional assays, flow cytometry
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of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and sustainability assessment
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and physico-chemists interested in molecular structures, working on their design, synthesis, characterization, reactivity and analysis in various environments. The expertise of the Institute is based
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on the Mycobacterium tuberculosis beta-lactamase BlaC and fluorogenic substrate chemistry. This position focuses on developing and optimizing diagnostic assays, with particular emphasis on reagent formulation, enzyme
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
cytogenetic image analysis. This position is central to a funded research program developing single-cell integration frameworks and AI imaging tools to understand how genome structure and molecular state