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and chemoproteomics studies Help develop and apply biochemical, biophysical, and metabolic stability assays Screen compounds; analyze and interpret data Apply data to the iterative design of optimized
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-affiliated hospitals. Responsibilities Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate cytotoxicity, cytokine production, and phenotype Perform in vivo efficacy
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other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including
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; analyze and interpret data Apply data to the iterative design of optimized chemical probes suitable for cellular and in vivo pharmacological studies Maintain accurate lab records and documentation
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Apply Now Job Summary In this position, the candidates will learn strategies and techniques for LC-MS analysis, drug optimization and lead drug candidate selection, pharmacokinetics and drug
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members on IntelliCage operations. Lead behavioral studies using IntelliCage to assess functional outcomes. Establish and optimize injury paradigms (e.g., TBI, CRCI) and therapeutic timelines. Collaborate
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree
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, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate
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-generation sequencing assay for clinical use (LDT) and developing and optimizing methods to conduct assay manufacturing in house or in a mobile setting under ISO conditions for clinical use. Where will I be
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, multicomponent alloys can be designed to have anti-microbial properties that are optimized by selection of the alloy composition. The project will exploit the use of Composition Spread Alloy Films (CSAFs