Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
- Ethical and Fair AI - Human-Computer Interaction - Natural Language Processing and Large Language Models - Quantum Computing, Information, Algorithmic Paradigms, and Communication - Scientific Machine
-
simulations. (5) Interacting with other team members on industry-sponsored projects involving combustion, turbulence, multiphase flow, machine learning and artificial intelligence, algorithm development and
-
Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools
-
are applicable to the program. Performs additional duties as assigned by the School. Experience: MS in Biology, Chemistry, Genetics, Microbiology, Environmental Science, Nutrition, or other closely related fields
-
://www.purdue.edu/ . Duties and Responsibilities Drs. Boran Gao (Purdue University, Department of Statistics) is hiring a full-time postdoctoral fellow in statistical genetics and genomics (with immediate start
-
: discovering the causes of mental illness and creating roadmaps for prevention. The Opportunity: Senior Data Analyst, Epigenetics The Data Analyst will be responsible for projects focusing on genetic and
-
exposures and life experiences. We are also interested in candidates with expertise in multi-ancestry analysis, genetic genealogy, human evolutionary biology and ecology, and population genetics, including
-
consequences of DNA methylation on risk for depression in adolescence and young adulthood. Projects aim to integrate longitudinal data with insights from genetics, epigenetics, and human development to identify
-
the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
-
behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling