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Field
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(CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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group works on structural and functional characterizing of molecular mechanisms of bacterial antiphage immunity. Professor Vasili Hauryliuk leads the Molecular Enzymology group at the Department
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techniques such as tSNE. Our lab is focused on understanding immune mechanisms underlying resistance and relapse in hematologic malignancies, with a goal of translating discoveries into clinical applications
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 days ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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targets that affect sensory neuron excitability following injury, and uncover the mechanisms that drive pain chronification. As part of our team, you will work directly with human dorsal root ganglion
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positions, visiting assistant professors, and visiting research associates. Department College of Engineering and Computer Science (CECS) - Mechanical and Aerospace Engineering (MAE) Work Schedule Monday
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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, how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning