Sort by
Refine Your Search
-
and actively pursuing a top caliber research agenda as an emerging scholar in the Design field; 2) Pro-actively contributing to the developing academic design community at Keller by participating in
-
doctoral degree in physics, optical engineering, electrical engineering, biophysics, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in
-
Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research in the field of quantum materials (http://www.moore.org/programs/science/emergent-phenomena
-
; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate. Qualifications Candidates are required to have a Ph.D. degree in a related field
-
engineering, materials science, electrical engineering, or a related field. Have expert proficiency in the fabrication and testing of solution-processed electronic/optoelectronic devices Be familiar with
-
— Ph.D. in plasma physics, physics, or a related field â— Experience participating in or running tokamak experimental campaigns â— Background in control, signal processing, or data analysis
-
, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in optics, optical microscopy or imaging Prior experience integrating hardware and software
-
the Social Sciences who have demonstrated exceptional scholarship, congruent with the Institute's intellectual focus, that simultaneously advances theoretical debates in their disciplinary field; creatively
-
available, as appropriate. Qualifications Minimum required knowledge, skills, competencies and abilities: - Ph.D. in bioengineering, synthetic biology, biophysics, or related field - Prior experience working
-
. Qualifications Required Qualifications PhD in Computer Science, Materials Science, Physics, Chemistry, Geosciences, or a related field. Strong background in machine learning, scientific computing, or computational