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Field
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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both modeling and physical experiments of the structure and thermo-mechanical response of single and polycrystalline shape memory alloys; prepare reports, manuscripts, and proposals, advise undergraduate
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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modeling. City: New Brunswick State: NJ Location: Cook (RU-New Brunswick) Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State University of New Jersey, is a leading national
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spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open until excellent fits are found.The
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Investigating innovative roles of immune cells in the homeostasis of musculoskeletal
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human health trajectories through advanced digital twin frameworks. This position offers an extraordinary opportunity in the field of computational health modeling that integrates clinical, genotypic
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experiment and data modeling approaches. Required qualifications PhD in molecular biology, biotechnology, bioengineering, bioinformatics, chemistry or related fields. 3+ years hands on experience with high
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, spectral matching against databases (e.g., Metlin, KNAPSAcK), and statistical modeling for biomarker discovery. Integration and Interpretation: Correlate metabolomics data with biological and geographical