-
measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
-
grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
-
equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in computational sciences, materials science
-
handling. Experience with image processing. Experience with MATLAB. Excellent written and oral communication skills. Demonstrated ability to function well in a fast-paced research environment and set
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Materials Science, Metallurgical Engineering, or a related