-
areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
-
individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
-
, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
-
or other trainee educational program. Creative thinker capable of crafting a future vision and building momentum toward achievement of this vision. Expert knowledge of needs assessment theory
-
this knowledge to engineer useful functions in bacteria. We invite applications from postdoctoral candidates with backgrounds in microbiology and molecular biology. Applicants will benefit directly from the
-
, Majorana fermions, topological charge fractionalization, topological order and non-abelian anyons. Our group members have backgrounds in topological physics and theory, knowledge on materials, and experience
-
, strong research background in statistics and ML, programming, data analysis, strong genetic and genomic knowledge, as well as good written and oral communication skills. Additional Qualifications Special
-
complex survival strategies. We hope to deeply understand how bacteria react and respond to stress and use this knowledge to engineer useful functions in bacteria. We invite applications from postdoctoral