10 web-developer-university-of-liverpool research jobs at California Institute of Technology
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary We are looking for a research assistant to support testing and development of the software pipelines
-
on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary Working on developing processes and automated algorithms
-
components making electrical connections with wire bonds, electrically screening the arrays, measuring critical dimensions, and documenting the results in internal web postings. Screening component parts
-
physics to investigate fundamental questions about the emergence of life on Earth and beyond. The Scientific Researcher will lead a project and develop custom-designed tools to study the post-impact
-
and development of the software pipelines for the RAPID and RISE projects. This position is expected to run for one year. As a research assistant, you will be part of the RAPID and RISE team, working
-
analogue materials. Develop computational approaches to investigate high-dimensionality isotopic properties in organic compounds. Contribute to the design and build of novel analytical instrumentation and/or
-
equipment for the analysis of fluid rocketry components. It consists of both the development of overall requirements, selection of COT's hardware, and the assembly/validation of sensor components for use in
-
instruments and equipment. Lead the construction of a flow chemistry system simulating prebiotic chemical environments. Investigate the chemistry of iron and sulfur in relation to origins of life. Train
-
interdependencies between society and the environment. For example, there is work quantifying the natural hazard protection value of natural lands, developing new approaches for accounting for ecosystem services in
-
Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level mathematical problems and developing new