83 cyber-security-data-analysis "https:" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
sequencing data analysis (shotgun metagenomic, and/or metatranscriptomic), microbial metabolomics, or microbial genetics. Experience designing and conducting experiments that probe the relationship between
-
Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
-
of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in
-
of experience achieving impactful results including publications using relevant AI/ML/related techniques and genomic data analysis. Background in and motivation for genomics or/and biodiversity conservation
-
measurements (e.g., release kinetics, seed vigor) – 20% Data analysis, interpretation, and manuscript/report preparation – 15% Coordination of research activities and mentoring of undergraduate assistants – 10
-
systems – 50% • Seed coating formulation, treatment evaluation, and analytical measurements (e.g., release kinetics, seed vigor) – 20% • Data analysis, interpretation, and manuscript/report preparation – 15
-
validation of processes of utility. Anticipated Division of Time Design and conduct experiments to produce extruded products with desirable characteristics (30%) Collect, analyze and evaluate data, using
-
. Anticipated Division of Time • Design and conduct experiments to produce extruded products with desirable characteristics (30%) • Collect, analyze and evaluate data, using appropriate methodologies (20
-
research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
-
relevant AI/ML/related techniques and genomic data analysis. Background in and motivation for genomics or/and biodiversity conservation studies. Strong background in AI/ML fundamentals and extensive