Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Duke University
- Susquehanna International Group
- ;
- Purdue University
- AALTO UNIVERSITY
- University of Cambridge
- University of East Anglia
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Warwick;
- ; Brunel University London
- ; Swansea University
- ; University of Exeter
- ; University of Warwick
- Abertay University
- Brookhaven Lab
- CUNY School of Medicine
- Cornell University
- Imperial College London
- Loughborough University
- Rice University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham
- University of Birmingham;
- University of Bristol
- University of East Anglia;
- University of Houston
- University of Houston Central Campus
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire – Main Campus
- University of Newcastle
- University of Sheffield
- University of Southern California
- University of Southern Denmark
- University of Sussex;
- University of Tennessee at Chattanooga
- University of Texas at El Paso
- Virginia Tech
- 32 more »
- « less
-
Field
-
of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical
-
. Building on this work, we seek to harness the power of this new tool to optimize its therapeutic use for a wide variety of conditions including epilepsy, neuropsychiatric disease, movement disorders, chronic
-
the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
-
/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s
-
that optimizes outcomes for children with neurodevelopmental disorders and their families. Diversity and inclusion are central to our lab’s mission, and we encourage applications from candidates who will
-
optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and
-
in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
-
of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
-
) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab
-
advantageous. Key Responsibilities: Investigate the role of the tumor microenvironment in modulating drug sensitivity and tumor progression. Implement and optimize 3D culture and characterization techniques