Sort by
Refine Your Search
-
samples and cell culture systems. This position offers a unique opportunity to work within a collaborative, multi-disciplinary environment that spans basic science, translational research, and clinical
-
skills in data analysis, scientific writing, and communication Ability to work independently and collaboratively within a research team Willingness to relocate or commute to Gainesville, Florida Job
-
nanoparticles for applications in nanomedicine, animal-derived food safety, and human health risk assessment; (2) collection and meta-analysis of pharmacokinetic and tissue distribution data of nanoparticles in
-
genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
-
modeling, with direct applications to food packaging systems, supply chain logistics, and lifecycle/techno-economic assessment (LCA/TEA). Employment with IFAS provides an excellent opportunity to work with
-
for new physics using taus, multilepton, and multi b‑jet final states. The successful candidate will work under the supervision of Prof. Yuta Takahashi and is expected to play a leading role in searches
-
symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
-
and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
-
management, data analysis, recruitment, and leading/contributing to manuscripts related to the project. The associate may also work to develop culturally appropriate education and dissemination based
-
specialization. Preferred Qualifications: Applicants should have experience in functional MRI and functional connectivity MRI (data acquisition, preprocessing, analysis). Experience in high-dimensional