Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- AALTO UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&m Engineering
- University of Oslo
- ;
- ; The University of Edinburgh
- Baylor College of Medicine
- Baylor University
- Brookhaven Lab
- Duke University
- Fudan University
- Institute of Photonic Sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Brain Research, Frankfurt am Main
- National Renewable Energy Laboratory NREL
- Rutgers University
- Stanford University
- Stony Brook University
- Technical University of Munich
- Texas A&M University
- The Ohio State University
- University of Adelaide
- University of Basel
- University of British Columbia
- University of Florida
- University of Massachusetts
- University of Oxford
- VIB
- Virginia Tech
- Washington State University
- Yale University
- 25 more »
- « less
-
Field
-
developing fundamental ideas with great potential for revolutionizing future photonic products. The candidates will work on projects related to classical and quantum photonic integrated circuits (PICs) and
-
Clinical Neurosciences Center (CNIC), housed within the world-class Department of Neurology at Yale School of Medicine, provides an integrated core for collaborative research on disorders of the nervous
-
optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in
-
wide variety of fields. We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of respect, excellence, leadership, loyalty, integrity, and service. Texas A
-
following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro/nanofabrication, nanowire synthesis
-
position a sensor in nanometer-scale proximity to samples. You will use this platform to reveal patterns of current in integrated circuits, to map patterns of light at the nanoscale, or to assemble nano