Sort by
Refine Your Search
-
Listed
-
Field
-
background in ocular cell and molecular biology. The ideal candidate will have demonstrated expertise in cell and molecular biology techniques, as well as biochemical approaches. This NIH-funded project
-
) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial proteomics, transcriptomics, collected
-
. We also study lymphatic drainage pathways in the dura mater, aiming to understand how they influence CSF dynamics and whether they can be therapeutically targeted. Our team currently includes one
-
to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
-
simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
-
/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
-
of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
-
available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
-
. in microbiology, immunology, systems biology, molecular biology, computational biology, or a related field. • Experience in one or more of the following areas: microbiome research, animal models
-
position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical