-
Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
-
and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies
-
the College of Liberal Arts at Purdue and will be involved in interdisciplinary projects including faculty from communication, psychology, and engineering at Purdue and Rice University. This is an academic year
-
‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
-
mouse models to investigate particulate matter, engineered nanomaterials, and other environmental pollutants induction of pulmonary injury, immune dysregulation, and lung disease pathogenesis. Ongoing
-
to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful
-
with world-leading sensitivity to major particle dark matter candidates. It also provides sensitivity to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved