Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
project supported across multiple Molecular Foundry facilities. Develop and design methods using automated robotics for protein expression, purification and surface conjugation on microarray substrates
-
statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML
-
tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
-
Mathematics, Computer Science, Physics, or related field. Strong research track record developing advanced mathematical and computational methods for analyzing complex experimental or imaging data. Demonstrated
-
experimental data. Apply modern methods of machine learning towards predictive data analysis. Collaborate with other research teams and scientists. Publish original research in peer-reviewed journals and
-
observations. Desired skills/knowledge: Knowledge of spectroscopy. Heterogeneous catalysis background is ideal. The preferred non-equilibrium method can be of the candidate's choice, such as kinetic theory
-
scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods. Experience with high-temperature or molten salt
-
factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine methods and procedures on new assignments and may coordinate activities of other
-
of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine methods and procedures on new assignments and may coordinate activities of other
-
to identify and quantify energy, environment, and mobility implications from changes to the transportation system using interdisciplinary methods that combine engineering, economics, human behavior, technology