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role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience
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Adversarial Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant
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Science, Chemistry, Computer Science, or related disciplines. Knowledge: - DFT-based methods and molecular dynamics. - Machine learning, and data analysis - Knowledge of programming (Fortran, Python
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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to blueprints, schematics, manufacture instructions/guidelines and verbal instruction to install piping systems, controls, etc. Utilize computer skills and appropriate software for work orders
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well as at our military campuses which include Fort Liberty & Pope and Camp Lejeune. For more information about Campbell’s Second Chance Initiative, click here: https://aoe.campbell.edu/about/second-chance
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning. Your tasks: Development and comparison of data driven models for the prediction of stresses in
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project deliverables are met and to perform any other adhoc duties assigned by Supervisor. Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks
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. Clinical research experience, particularly with mental health patients and/or children (but not required). Knowledge of good clinical practice (GCP) in clinical research (or willing to learn). Ability