-
collected teeth from thousands of children. This role offers a unique opportunity to engage in innovative research, all while receiving outstanding mentorship in a collaborative, dynamic environment. This
-
engage fully in the lab’s dynamic environment. Required: Ph.D. in a relevant field such as Biology, Biochemistry, Epidemiology, Genetics, Genomics, or Psychology Strong publication record, including first
-
and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
-
. Our group focuses on understanding molecular mechanisms and metabolic signatures in Alzheimer’s disease (AD) through computational and systems biology approaches. The postdoctoral researcher will lead
-
, Physics , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum error correction , Quantum Field Theory , Quantum Information , Quantum Information Processing and Communication
-
communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra
-
-reviewed publications and contributing to the development of funded research. Preferred: An engaged scholar with experience in grant writing and program building. Application Procedure Applicants must submit
-
Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be