Sort by
Refine Your Search
-
Qualifications: A strong background in inorganic, organic, polymeric, or physical chemistry Expertise in standard purification methods and characterization by the standard tools including NMR, FTIR, mass
-
: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
-
), and system-level telemetry tools. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks
-
. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
-
elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills
-
data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient
-
dimensional reduction methods and visualization tools. Effective writing and communication skills as demonstrated in publication and presentation. Demonstrated ability to work both independently and
-
thermal analysis (DSC/TGA). Hands-on experience in materials characterization using tools such as particle size analysis, optical microscope, scanning electron microscopy, X-ray diffraction. Strong