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candidate will teach undergraduate lecture and/or laboratory anatomy and physiology course(s). The ideal candidate should be open to offering flexibility in course scheduling and methods of course delivery
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, and students to design, develop, and implement software and hardware solutions. Experience working in a Unix or Linux environment, understanding software compilation (C and Fortran), MySQL and
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to candidates with expertise in any of the following areas: Development of new direct detection methods Sub-GeV dark matter searches Astrophysical searches of BSM physics High-energy astroparticle transport
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. Experience using audio equipment and software. Ability to multi-task. May require the ability to work in an outdoor environment in adverse weather conditions including extreme heat and cold. BACKGROUND CHECKS
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multidisciplinary topics from signal processing to machine learning to software design with a focus on sonar systems. The goal of our group is to leverage all of the available acoustic physics to generate data
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-solving skills. Excellent communication and interpersonal skills. Proficiency in Microsoft Excel and other financial software. Knowledge of university policies and state regulations related to FN27 rates is
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Analyze multi-sensor data to evaluate system performance Design, implement, integrate, and test software to demonstrate guidance and control algorithms Collaborate and communicate with a team of peers
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spent; communication and time tracking software are used as part of the team’s standard workflow Proficiency in Microsoft Office and Google suite Excellent written and verbal communication skills
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to apply. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
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such, the ideal candidate must be: Team oriented Coachable and analytically curious Passionate for research and creative problem solving Completed quantitative and qualitative methods courses Organized