The Johns Hopkins University
Assistant Research Scientist (PREP0003640)
The Johns Hopkins University, Gaithersburg, Maryland, us, 20883
Assistant Research Scientist
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. The position is for a graduate student level researcher or recent PhD graduate experienced in and interested in applied data science to work jointly with mathematicians and experimentalists at NIST to study forensic chemometrics and uncertainty quantification in identification and classification in mass spectrometry. A goal of this work is to develop improved classification and identification algorithms in analytical chemistry and incorporate uncertainty quantification into models to provide useful information. The Work Will Entail Implementing optimized calculations to study AI classification algorithms. Assessing uncertainty in classification of experimental data. Computationally testing mathematical models relating uncertainty quantification. Significant software development (most likely python) Disseminating results through posters/seminars at meetings and seminars Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels Qualifications Either completed master's degree or PhD in data science or related field. Minimum of 1 year of experience conducting data science research Significant course work in mathematics, statistics and/or computer science Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods Familiarity with larger computational and AI/ML software packages Ability to program in a modern computational language (e.g. python) Application Instructions Please upload the following with your application: CV/Resume (limited to 3 pages and including only a valid email address for contact info) The Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
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This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. The position is for a graduate student level researcher or recent PhD graduate experienced in and interested in applied data science to work jointly with mathematicians and experimentalists at NIST to study forensic chemometrics and uncertainty quantification in identification and classification in mass spectrometry. A goal of this work is to develop improved classification and identification algorithms in analytical chemistry and incorporate uncertainty quantification into models to provide useful information. The Work Will Entail Implementing optimized calculations to study AI classification algorithms. Assessing uncertainty in classification of experimental data. Computationally testing mathematical models relating uncertainty quantification. Significant software development (most likely python) Disseminating results through posters/seminars at meetings and seminars Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels Qualifications Either completed master's degree or PhD in data science or related field. Minimum of 1 year of experience conducting data science research Significant course work in mathematics, statistics and/or computer science Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods Familiarity with larger computational and AI/ML software packages Ability to program in a modern computational language (e.g. python) Application Instructions Please upload the following with your application: CV/Resume (limited to 3 pages and including only a valid email address for contact info) The Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
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