Sort by
Refine Your Search
-
contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
-
the laboratory. Preferred Knowledge, Skills, and Experience Experience with in-situ or operando measurements under electrical or thermal bias. Familiarity with multimodal data correlation or integration with
-
related discipline. Expertise in Nek5000/NekRS or other comparable spectral element method codes. Experience in running high-fidelity simulations on leadership class supercomputers. Knowledge of performing
-
of multi-omic data Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages Ability to model Argonne's core values of impact, safety, respect, integrity
-
completed in a relevant field of study. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow
-
3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with
-
, integrity, and teamwork. Preferred Knowledge, Skills, and Experience Experience with THz or mmWave instrumentation and measurements. Familiarity with high-gradient acceleration and wakefield accelerator
-
communication skills, and ability to interact with people at all levels both within and outside the laboratory. Preferred Knowledge, Skills, and Experience: Experience with scientific AI techniques like Physics
-
the ultrathin limit. Position Requirements We seek outstanding researchers with a strong background in experimental condensed mater physics and materials science. No prior knowledge of MBE is needed, though a
-
. Preferred Knowledge, Skills, and Experience Prior experience with high-throughput or computational protein design/screening techniques. Background in structural biology (CryoEM/crystallography) Knowledge