Sort by
Refine Your Search
-
candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular
-
deposition (ALD). The project involves performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms
-
: Experience with generative models (transformers, diffusion models, VAEs, GANs) applied to biological sequences Familiarity with the theory behind modern molecular biology techniques Knowledge of HPC
-
familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow. A strong foundation in statistical methods, probability theory, or uncertainty quantification is highly advantageous. Job Family Postdoctoral
-
, safety, respect, integrity, and teamwork. Preferred Knowledge, Skills, and Experience: Background in economic theories and their application to overall or specific energy, mining, and manufacturing sectors
-
Knowledge, Skills, and Experience: Proficiency in mathematical analysis and operator theory. Experience working with microelectronics. Experience in conducting synchrotron experiments and analyzing
-
effects on fluid behavior in reacting and non-reacting flow applications. Understanding of combustion theory and modeling applied to combustion engines and other propulsion systems. Understanding of Finite
-
, respect, integrity, and teamwork. Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive. Preferred Qualifications: Knowledge of combustion theory and
-
members on the experiment sides and also work closely with our theory collaborators to establish “read” and “write” of information using this optically addressable atomic memory. The candidate is expected
-
and reports describing results of development work, analyses, and investigations. Position Requirements Knowledge of nuclear engineering principles, theories, and practices for the design and analysis