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Field
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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The development of the computational kernel of the NEMESIS software library. Implementation and tests within the above-mentioned library. The net monthly salary is between €2,200 and €2,380 The contract duration is
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techniques such as tensor networks, quantum Monte Carlo, ab initio calculations, and AI/ML is a plus. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Other
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research. You have a PhD in biochemistry, biophysics, chemistry, computational biology, or a related field. You have very good oral and written proficiency in English. You have a solid coding foundation and
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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias or precision oncology Experience with biological image
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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-14203 Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us in shaping the future of 6G networks through cutting-edge research at the intersection