Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
-
with the technical team, of the data acquisition system, instruments (e.g. wave gauges, current meters, pressure sensors or Qualisys). Maintenance, together with the technical team, of the larger electro-mechanical
-
fluid-structure interaction (FSI); - Development of techniques for deforming fluid domains, including Chimera techniques. The doctoral research needs to realize algorithmic improvements in the topics
-
: Design of optical setup Optical system analysis and simulation Material characterization Developing AI/ML algorithms Literature review and preparation of journal publications Type of work: 40% setup and
-
sensor and actuator environment. You will assist in the teaching activities at the department in courses on bachelor level, specifically courses on programming and software development. You will assist in
-
to express complex domain knowledge in a formal yet flexible manner, and (2) design AI approaches such as learning algorithms and reasoning engines that can exploit the provided knowledge? The successful
-
constraints across the FR3 band. You will propose novel transceiver architectures and communication algorithms offering flexibility and the best power-performance trade-offs. You will also investigate how
-
-scaled CMOS models. Advanced algorithms and architectures need investigation of power-consumption trade-offs. For instance, digital predistortion (DPD) can enhance power amplifier efficiency but
-
, biodegradable and biocompatible electrical sensors, polyurethanes, and biologically active extracellular vesicles. These solutions aim to prevent inflammation, promote tissue regeneration, and minimize infection
-
-constrained platforms, without heavily relying on human interventions for hardware-aware optimization, or are unable to generate runtime-adaptive workloads, such as AI algorithms that evolve over time in