186 parallel-computing-numerical-methods uni jobs at California Institute of Technology
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of unit/department/division resources and operations; assesses strengths and weaknesses of a function and advises clients on methods for taking advantage of opportunities to reduce costs and improve
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. Independently develop methods and work with faculty, students, and academic and industry partners to successfully complete projects. Other duties as assigned. Basic Qualifications MS or PhD in remote sensing
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, or organize computer hardware and peripherals with guidance. Perform routine hardware checks (e.g., cable connections, power issues). Help with inventory tracking, labeling, and device verification tasks
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systems and components including: vacuum components, fittings, and pumps; electronic and computer systems; optical components and assemblies; precision mechanical components and assemblies. Basic
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Motor Vehicle policy. Knowledge of rigging, knots, climbing methods, aerial rescue techniques, and materiel and equipment used in tree work. Must have knowledge of botanical tree names, tree
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extragalactic objects augmented with data from across the electromagnetic spectrum, for use by the research and lay communities worldwide, with access through computer query protocols and friendly graphical user
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projects in multiple delivery methods including design-bid-build (DBB), design-build (DB), and DBB with design-assist. Establish and manage construction progress through in-person and virtual meetings
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other colleagues, maintain an active presence throughout the complex. Communicate APER policies and procedures to all participants and guests, as needed. Assist in managing recreation membership program
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cultures. Necessary bioinformatic skills can be acquired through training in the Parker lab. Essential Job Duties Molecular biology methods (DNA/RNA extraction, PCR, cloning, cDNA synthesis). Design and
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administration and systems administration support for all IPAC projects as well as the organization at large. We manage tens of petabytes of data, high speed networks, compute clusters and the data centers