Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
-
and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled
-
Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology / Data Analytics , Computational Biology , Computational, Quantitative or Systems
-
in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
-
to develop and optimize protocols for various ‘omic techniques (single cell transcriptomics, proteomics, etc.) and other techniques for assaying protein function in non-model organisms at different life stages
-
development of novel traits. The successful candidate will be expected to develop and optimize protocols for various ‘omic techniques (single cell transcriptomics, proteomics, etc.) and other techniques
-
Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
-
students, interact with collaborators, and adopt and optimize relevant techniques for the project where applicable. Professional development: 5% Requirements PhD in molecular biology, cancer biology
-
, biochemical assays, testing with pharmacological compounds and mouse models. The postdoc will write manuscripts, mentor students, interact with collaborators, and adopt and optimize relevant techniques
-
implications of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and