Sort by
Refine Your Search
-
in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
-
real-time simulation platforms. Knowledge with designing, modeling, or hardware prototyping of power electronic converters. Proficiency in Python and/or C. Ability to work both independently and
-
understanding of power distribution systems. Working knowledge of electric power distribution systems, DER operations, and grid modeling & simulation. Working knowledge of Git. Proficiency in Python and OpenDSS
-
, Python, R, Java, or other scientific programming languages. Experience working with life cycle assessment tools such as GREET®, OpenLCA, SimaPro®, GaBi®, or similar. Skilled oral and written communication
-
your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
-
based on point defect based spin color centers in diamond and silicon carbide. Desirable: Coding skills in python for analysis of scientific data. Familiarity with infrared laser heating systems
-
simulation (classical and ab-initio molecular dynamics, DFT, simulations) Proficiency in programming languages like Python, C++, or Fortran for custom analysis tools. Experience in developing workflows
-
, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
-
systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact