145 computer "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at California Institute of Technology
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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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Associate to facilitate the development of the Energy and Water Benchmarking program. This employee will primarily be responsible for building out Caltech’s energy data repository in Energy Star Portfolio
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that involve surgical mockups and robotics. Leading data collection efforts, including benchtop experiments. Creating computational and analytical models to match experimental data. Fabricating and testing novel
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significant coordinator role for an admissions program and/or event. The admissions program specific to this role will encompass marketing, particularly managing the branding and social media strategy
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, Stochastic Sequencing Analysis will work under the supervision of the PI and be integrated into a team of experimental and computational co-workers to develop and implement the necessary computational tools
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instrument engineering in one or more of the following disciplines at an associate level: optical design, mechanical design, controls engineering, software architecture and development, real-time-computer
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Qualifications Currently enrolled in an undergraduate or graduate program in business, finance, public administration, Supply Chain Management or similar field. Ability to travel to and work in-person at the LIGO
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administrators, grants managers, and the department administrator. This position plays a strategic role in influencing and recommending program design and implementation changes to ensure that academic program
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throughout the course of employment. Must be able to adhere to the Institute’s driver policy. Ability to multi-task and prioritize in a busy, fast-paced, dynamic environment. Must have basic computer skills
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experience interpreting DNA sequence data and protein concentration data. Familiarity with automated liquid handling platforms. Strong computer skills, including familiarity with Excel, formulas, and assay