Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Wageningen University & Research
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Radboud University
- Amsterdam UMC
- University of Groningen
- Leiden University
- ARCNL
- DIFFER
- University of Twente (UT)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus University Rotterdam
- HFML-FELIX
- KNAW
- Naturalis
- Radboud University Medical Center (Radboudumc)
- University Medical Centre Groningen (UMCG)
- AMOLF
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- University of Twente
- 15 more »
- « less
-
Field
-
to enable the demonstration of optically switched network for AI training computing clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on
-
, fieldwork, and training alongside your own project. North Sea Power is funded through the Dutch Research Agenda (NWA), developed in collaboration with the Dutch Ministry of Economic Affairs and Climate Policy
-
, preferably at BSL-2 level; - a willingness to be trained for and to work with respiratory viruses at Biosafety Level 3 (BSL-3); - the ability to plan, perform, critically evaluate and troubleshoot experiments
-
clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on demonstrating disruptive new network architectures for AI compute clusters utilizing optical
-
spoken. Strong analytical abilities, creativity, persistence, and the ability to collaborate effectively. Familiarity with circuit theory, networked systems, machine learning, or neuromorphic computing is
-
we invite you to apply for this PhD position on Curiosity in the Classroom at Radboud University. Curiosity is a powerful driver of learning, yet we still know relatively little about how curiosity
-
necessitates a tenfold increase in bit rates, enhanced user capacity, and significantly reduced power consumption. Given that 80% of data traffic is directed indoors, the current reliance on outdoor base
-
scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
-
by technical infrastructures, information asymmetries and interface designs that steer user behavior. While responsibility is formally assigned to those who embed the tools, power is often exercised
-
an unnecessary discarding of generated power. This four year’s PhD position is aimed at using captured CO2 from point sources and hydrogen from water electrolysis to generate carbon-based base chemicals and fuels