-
. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: An AS degree in biology
-
together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied
-
/facilities for microbiology, molecular biology, ecosystem ecology, plant biology, and genomics in a professional environment with excellent technical support. Basic Qualifications: Ph.D. degree in microbiology
-
significance in energy, environment, and health through collaborative research and advanced technologies. BESSD leads convergence research in biology, ecology, engineering, data discovery, physical sciences, and
-
success. Qualifications Required: A B.S. degree in a science, engineering, operational discipline, or relevant technical field (e.g., health and safety, industrial hygiene, chemistry, biology, engineering
-
field based research. Perform research utilizing a full range of state-of-the-art equipment/facilities for microbiology, molecular biology, ecosystem ecology, and genomics in a professional environment
-
, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Bachelor’s degree in chemistry, engineering, biology
-
related discipline A minimum of 5 years of experience in machine learning algorithm development in physical sciences (such as physics, chemistry, materials science, biology, etc) Experience with Python
-
Requisition Id 12456 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research...
-
experimental design and execution of research campaigns to integrate experimental and bioinformatic approaches for the systems-biology characterization of microbial and plant systems Focus will be given