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, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding ability for research and a record of
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development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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Posting Details Position Details Title Postdoctoral Position in Theoretical Quantum Liquids at Indiana University Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position Summary The Physics Department at Indiana University Bloomington invites...
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Environmental Engineering (BEE) invites applications for a short-term Postdoctoral Associate position in mathematical modeling and engineering simulation of food processes. The appointment is for five months, May
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Apply now Job no:501765 College / VP Area: College of Arts & Sciences Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Salary Structure Summary The group of Prof. Lars Gundlach at the University of Delaware, Newark, Delaware, is looking for a highly motivated...
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machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a
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, joins, JSON operations. Minimum Qualifications PhD degree in computer science, informatics or related discipline such as applied mathematics. Two (2) years of experience with using the following neural
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Computational Neuropsychology and Affective Neuroscience Lab, directed by Dr. Stacie Warren, is seeking a Research Associate (Postdoctoral Fellow) eager to apply mathematical modeling to advance understanding
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new