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collaborative environment. Microsoft office software skills. Preferred qualifications: This position will require a full-time 2-year commitment. Doctorate degree in rehabilitation science, neuroscience
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-related experiments in EPPL. Assist in the preparation of research publications and technical reports. Contribute to the development of software and hardware systems for real-time control applications
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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, patents, and proprietary sources to train and validate predictive models. Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software. Collaborate with synthetic chemists
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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experience writing custom analysis software (MATLAB, Python, R). Experience publishing original research in leading journals related to biomechanics, biomedical imaging, musculoskeletal health and function
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using photolithography, e-beam lithography, and plasma etching. Experience in various 2D CAD drawings software e.g., KLayout, Layout editor, AutoCAD, etc. Experience in thin film deposition techniques
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custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction