20 machine-learning-"https:"-"https:"-"https:" research jobs at National Renewable Energy Laboratory NREL
Sort by
Refine Your Search
-
enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability
-
to use various computer software programs. Researcher III Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience
-
reactor-scale simulations Knowledge of or experience with catalytic processes (modeling or experimental) Knowledge/experience with machine learning i.e. tensor flow/PyTorch . Job Application Submission
-
for learning are critical in this role. This is an excellent opportunity for a candidate invested in the NLR mission who desires relevant laboratory experience in preparation for graduate school or a future
-
practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
-
. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic
-
aspects of systems engineering. Moreover, the candidate will be able to learn different techniques and measurement equipment utilized for thermal, mass transfer, mechanical, and chemical measurements. Job
-
(40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex
-
information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and
-
information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and