25 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at California Institute of Technology
Sort by
Refine Your Search
-
enjoys writing high-quality code, wants to build applications with large language models, and has enough familiarity with astronomy or another physical science to create tools that researchers can trust
-
behavior and immunology. Design and perform experiments, develop and adapt research assays, and analyze experimental data using coding and appropriate statistical methods. Essential Job Duties Conceive
-
Microscopy, including conducting optical experiments and writing computational code. This work will involve applying skills and knowledge in physics, computational methods, optical imaging, and related
-
and pipeline components; keep code under version control and documented. Basic Qualifications Bachelor’s degree in physics, astronomy, electrical engineering, computer science, or a related field
-
, deploying code on physical hardware, operating robots, and meeting performance and robustness requirements for field use. Project leadership and mentoring: Managing small engineering teams across aerial
-
Leadership Demonstrate technical leadership on Enterprise AI architecture, engineering patterns, and solution design. Perform architecture reviews, code reviews, prompt reviews, and design reviews for AI
-
repair work for the relevant area(s). Perform field inspections to review work progress and resolve work conflicts. Ensure compliance with applicable building codes and the Caltech Design Guidelines
-
necessary in a manner consistent with safety codes. Responds to routine and emergency calls for repairs and service. Be familiar with and use protective equipment such as filters, various facemask ratings
-
may proceed. Utilize existing optical/ultraviolet radiative transfer codes to produce artificial Uranian atmospheres whose properties can be compared to HST image data. From these first two duties
-
with web server administration, operations, and cloud services. Expertise with databases and SQL. Knowledge of AI Large Language Models (LLMs). Experience with Infrastructure as Code (IaC) and modern