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Field
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into pilot-scale production processes. Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in Material Science, Physics, Chemistry, or a related field. Experience
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. upon hire. Preferred Qualifications PhD in a physical science or engineering field. Experience in high-contrast imaging data reduction. Experience in exoplanet and/or debris disk science. Experience
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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experience in real time synchrotron experiments. Preferred Qualifications: PhD in Physics, Chemistry, Chemical Engineering/Materials Science or a closely related field in hand by September 1, 2025. Expert
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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Number: 203914 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Location: Busch (RU-New Brunswick) Create a Job
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Number: 208746 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. City: Piscataway State: NJ Location: Busch (RU-New
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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing