Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
the opportunity for reappointment. The intended start date is negotiable. The SCRC Methods and Team Science Cores will train the postdoctoral school or Fellow Non-ACGME researcher in the optimization and
-
writing content for grant applications. Will collaborate with the team to design, optimize, and standardize experimental and analysis pipelines to accelerate high-quality publications. Will review trainee
-
, physics consults for patients, FLASH proton therapy, optimization, global oncology, and scholarship in education, including international research and education collaborations. Research facilities include a
-
writing content for grant applications. Will collaborate with the team to design, optimize, and standardize experimental and analysis pipelines to accelerate high-quality publications. Will review trainee
-
generation proteomic analyses Build and optimize proteomic pipelines for neurodegenerative disease biological subtyping Perform genetic, epigenetic and protein biomarker analyses including a range of molecular
-
by evolving different strategies to optimize interactions with their microbial environments to maximize fitness. Our long-term goal is to investigate fundamental mechanisms of defense optimization
-
analysis, scientific computing, and optimization). These full-time 9-month temporary positions are renewable twice depending on, as applicable, satisfactory teaching performance and research progress, for a
-
observation stays, community-based HIV treatment delivery for refugees, optimal cooling and biomarker predictors after cardiac arrest, addiction treatment engagement, post-cardiac arrest recovery, and
-
hardware maintenance. Analysis & Modeling – 35% - Select features, build, and optimize classifiers using machine learning techniques. - Perform statistical analyses with traditional methods (e.g., survival
-
analyses, visualization, and machine learning. - Perform data backup and basic computer hardware maintenance. Analysis & Modeling – 40% - Select features, build, and optimize classifiers using machine