Sort by
Refine Your Search
-
Listed
-
Field
-
measurements and materials characterization, fundamental interface and component fabrication (including catalyst, catalyst/electrolyte interfaces, and membranes), integration and simulation. The incumbent will
-
on superconducting QPUs. Knowledge of noise and error sources in superconducting systems. Familiarity with benchmarking and characterization methods for quantum computers. Experience with tensor network methods and
-
• Demonstrated experience in computational or quantitative research methods. • Strong programming skills in Python. • Experience with high-performance computing, geospatial data, and causal inference methods
-
or papers from Ph.D. currently under review Experience with life-cycle costing, life-cycle environmental assessment methods and/or software Strong skills in Python (preferred) and/or a similar programming
-
programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
-
-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics. The position is for one year with renewal for a second year pending
-
information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
-
the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition