Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Princeton University
- University of Central Florida
- University of Washington
- Georgetown University
- National Aeronautics and Space Administration (NASA)
- San Diego State University
- Stanford University
- The University of Arizona
- The University of South Dakota
- University of Virginia
- 1 more »
- « less
-
Field
-
& Responsibilities Developing automated manufacturability analysis methods for additive and conventional manufacturing processes. Applying machine learning techniques to 3D engineering data (CAD models, meshes, voxels
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
inductively coupled plasmas, arcjets, Python, or CAD design for hardware integration is desirable. Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree
-
Python, MATLAB, or C++. Experience with machine learning techniques, CAD, computational modeling, 3D printing, motion capture, and/or material testing. Proficiency in programming languages commonly used in
-
custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction
-
using photolithography, e-beam lithography, and plasma etching. Experience in various 2D CAD drawings software e.g., KLayout, Layout editor, AutoCAD, etc. Experience in thin film deposition techniques
-
salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
-
acoustic ultrasound characterization knowledge a must. Candidates will need programming skills in MATLAB and CAD software skills. The ability to communicate scientific results to both broad and expert
-
collaboratively in a multidisciplinary team Additional Experience (Preferred but Not Required): Experience in electrochemistry or micro/nanofabrication Prototyping skills, including CAD design, 3D printing
-
disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will
-
needs. Tasks may involve CAD design, machining, and integration of sensors and control systems. Collaboration and Mentorship 5% Work collaboratively with faculty, graduate students, and other postdoctoral