Vacatures 61 tot 70 van 301
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PhD in Trustworthy Federated Learning for Distribute...
Delft University of Technology (TU Delft) - Delft
related field. Interest or experience in Distributed Ledger Technology, Federated Learning, and AI. Affinity with programming, computer networks , and multi-actor systems. Interest or experience with research collaboration with- Volledige vacature bekijken
PhD Enhancing Plant Resilience through Biologically
Delft University of Technology (TU Delft) - Delft
Bioinformatics Lab, part of the Computer Science department of the Delft University of Technology under supervision of Prof. Marcel Reinders. The PhD will be done in close collaboration with the Bioinformatics Group at Wageningen- Volledige vacature bekijken
PhD Data-Driven Assessment and Enhancement Stability...
Delft University of Technology (TU Delft) - Delft
The PhD position focuses on robust adaptive equivalent models of offshore networks for dynamic stability studies. It also concerns with the development of algorithms to enable self-calibrated and unsupervised model updates and- Volledige vacature bekijken
Experienced Scientist CO2 electrolysis
Tno via Talent - Rijswijk
understand the needs of customers and external stakeholders and proactively come up with plans to improve their technologies and processes.Requirements: You have a PhD in electrochemistry, with experience in electrochemical conversionCopeland via Talent - Rijswijk
Are you a professional seeking a new challenge in a dynamic and fast developing business? By joining us in Rijswijk, The Netherlands or Diegem, Belgium as Digital Technical Sales, you will become part of the Global SalesEmerson via Talent - Rijswijk
Are you a professional seeking a new challenge in a dynamic and fast developing business? By joining us in Rijswijk, The Netherlands as Digital Sales Engineer, you will become part of the Global Sales team. LI-Hybrid ThisPhD Explainable AI for Crowd Risk Management
Delft University of Technology via Talent - Delft
ethical implications. In this PhD project, our primary focus is to harness the capabilities of Explainable Artificial Intelligence (XAI) to better understand and manage crowd dynamics by integrating diverse data sets that include