Sort by
Refine Your Search
-
engineering to lead multiple courses each year. Disciplines where we are seeking instructors include: Computational Chemistry Computational Quantum Chemistry Scientific Computing Machine Learning/Deep Learning
-
epitaxy (MBE) growth of topological materials and machine learning. The successful candidate will play a leading role in advancing the frontiers of ARPES by integrating machine learning and data-driven
-
Bioinformatics Machine Learning/Deep Learning High Performance Computing Complex mathematical modeling and simulations Computational Quantum Chemistry Leadership, management, and entrepreneurship in a
-
modeling, and leverage machine learning techniques to support research objectives. Key Responsibilities: Conduct numerical simulations of giant planet atmospheric dynamics. Apply machine learning techniques
-
. Use of radiation transport codes, especially MCNP, Serpent, OpenMC, or an equivalent code. Experience with uncertainty quantification methods. Experience with computer programming (Python, C
-
, dynamic programming) and methods of causal inference. (20% time) Write computer code to maintain data and implement analyses; the applicant will have had substantial experience in manipulating large
-
, culture and/or literature. Experience with computer-assisted language learning and language instructional software, and online instruction. Native or near-native fluency in Thai; English fluency; strong
-
. Position description The College of Environmental Design (CED) at UC Berkeley invites applications for a pool of qualified instructors to teach studio and non-studio undergraduate and/or graduate courses