30 computational-biology-physics-training Postdoctoral positions at The University of Arizona
Sort by
Refine Your Search
-
:// astro.arizona.edu/academics/postdoctoral-program. UA/SO offers a world-class research environment in space science and astrophysics with strong interdisciplinary programs across the Departments of Astronomy, Physics
-
large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
-
. Independently develop reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats. Grant writing and manuscript preparation. Participate at scientific conferences and present
-
research environment in space science and astrophysics with strong interdisciplinary programs across the Departments of Astronomy, Physics, Optical Sciences, and Planetary Sciences. We provide direct access
-
is available through an AFOSR-funded project, focusing on theoretical investigations at the interface of quantum optics, atomic physics, and many-body physics. The project explores how atomic arrays
-
analyze data. Supervise and mentor undergraduate students. Prepare and submit peer-reviewed journal articles and present their work at professional conferences. Depending on their interests and expertise
-
results in the weekly laboratory meetings. Attend seminars and scientific conferences when available. Prepare and revise manuscripts for publication. Participate in grant writing, including generating
-
metabolome data collected for a population of individuals with hypermobile Ehlers Danlos Syndrome. This person will also train, supervise, and support professional and student personnel in the lab. The ideal
-
and cellular biology techniques (qPCR, Western blot, CRISPR, etc.) Knowledge of vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology
-
of experiments or simulations. Develop, implement, and refine computational and/or experimental techniques relevant to the project. Analyze data, prepare publications, and present findings at scientific meetings