Sort by
Refine Your Search
-
the other open PhD and postdoc cohort positions at http://www.capex-p2x.com . The research area will be within modeling of electrical engineering systems applied in Power-2-X systems incl. power
-
experimental characterization of gels and tissues, understanding, and modelling their behavior. We have state-of-the-art laboratories for testing: Oscillatory and capillary rheometers, Orthogonal rheometry(OSP
-
bioinformatics and modeling of the complex microbial communities that shape our word. We are seeking a highly motivated post-doctoral researcher to develop scalable probabilistic machine learning models and
-
models relating climatic conditions to organismal/population responses to thermal extremes does not adequately reflect the microclimatic environment experienced by smaller organisms. The primary focus will
-
for managing End-of-Life (EOL) products, decision-making models for recovering, refurbishing, and reusing components from returned products, creating product and component traceability, effective disassembly
-
crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
-
hubs. Control and optimization of power electronics for flexible port energy systems. Modeling, simulation, and experimental validation of port power conversion and electrification solutions. Integration
-
manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable
-
, estimation, and modeling 3) Integration design of SDR-based RF transceiver, 4) Antenna measurement in near-field and far-field condition and using complex and power-only measurement. The research group is
-
and model-based approaches to design and evaluate resilient reconfigurable manufacturing systems. The methods will be co-developed and validated with several industrial cases. 2) Resilient planning