Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
-
applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
-
aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies that address micronutrient
-
, CO2 capture, and related fields. Experience with bioprocess optimization, gas-liquid fermentation, Knowledge about the multispecies interaction withing consortium and genome scale metabolic modelling
-
algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing
-
to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
-
simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
-
and optimization methods for Earth observation satellite networks with sensing, computing, and communication capabilities. The goal is to characterize the trade-offs between sensing accuracy, computing
-
crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
-
experiments in the BRIGHT biofoundry. The following qualifications are essential: Knowledge of Pontryagin’s maximum principle and the related theory of open-loop optimal control of dynamical systems. Knowledge