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Field
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materials. Preferred Qualifications Ability to participate in occasional fieldwork. Expertise in using computational tools to interpret geochemical results. Physical Demands/Working Conditions Working
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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formulations for novel drug molecules. During the drug product development process, DPDD scientists rely on state of the art in vitro and computational tools supported by expertise in biopharmaceutics, drug
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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Tulane University Office of Human Resources Description for Job: IRC32798 TUII Postdoc Fellow Tualne University Innovation Institute Location: New Orleans, LA Summary The Tulane University
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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therapy program to expand professional network and research experience. The postdoc may be based at either our North Chicago, IL or Cambridge, MA sites, and will work closely in a collaborative and