15 applied-physic-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at Saint Louis University
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Engineering, Applied Physics, Optical Sciences, or a related field. Proven track record in one or more of the fields mentioned above. Strong experimental background in optics or wave physics. Strong interest in
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Statement: Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion
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Characteristics: • Knowledge of laboratory procedures • Knowledge of the use and preparation of culture media, chemicals, and reagents • Knowledge of medical and scientific terminology • Verbal and written
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or other specialized knowledge is desired Knowledge of laboratory procedures: cell culture and in vitro assays, immunoblotting Knowledge of the use and preparation of culture media, chemicals, and reagents
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and training of graduate students, as needed, are key aspects of the role. Qualifications: A Ph.D. in Civil, Mechanical, Chemical, Materials, or Applied Physics. A track record demonstrated in one
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ABILITIES Broad knowledge involving laboratory techniques or other specialized knowledge is desired Knowledge of laboratory procedures: RT-PCR, histology, mRNA extraction Knowledge of the use and preparation
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understand the correlation between dengue vaccine protection and antibody enhancement. Unwanted/unsafe epitopes will be removed via viral engineering. Research skills in structural, engineering, and evolution
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. Scheduled Weekly Hours: 40 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race
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opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis