Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- University of British Columbia
- Zintellect
- Carnegie Mellon University
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Istituto Nazionale di Fisica Nucleare
- McGill University
- Michigan State University
- Tilburg University
- University of Greenwich
- Villanova University
- Virginia Tech
- Wageningen University and Research Center
- 3 more »
- « less
-
Field
-
to prepare and stain sections; (2) optimize image analysis pipelines; (3) organize, document, and present data clearly for group meetings and reports; (4) maintain laboratory records, follow safety protocols
-
‑space exploration, and on‑line operational optimization of power systems. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative
-
detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
-
professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
-
to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
-
and biomolecule release. We are seeking motivated, creative individuals who are interested in conducting hands-on experiments to evaluate and optimize the performance of this technology, including
-
bacteria; • Application and optimization of molecular methods for bacterial detection and identification (PCR, qPCR, LAMP); • Support in evaluating and validating rapid diagnostic platforms in the lab and
-
computational methods, will be used to identify and validate promising candidates. Further design and engineering efforts will be utilized to optimize and port successful sensors into sensing platforms being
-
efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
-
of these instruments to ensure their optimal performance and the accuracy of analytical results. Operate hot cells, fluidic systems, and purification systems within the quality and safety framework. Write, review