vacatures in Kunstmatige neurale netwerken bij Örebro University

Hier vind je vacatures in Kunstmatige neurale netwerken bij Örebro University. Wil je nieuwe vacatures ontvangen op dezelfde dag dat ze worden gepubliceerd? Maak dan een e-mailalert aan.

Örebro University

Örebro, Zweden

Postdoctoral researcher in Neurosymbolic AI

The School of Science and Technology is seeking a postdoctoral researcher in Computer Science and Artificial Intelligence for a fixed-term appointment.Subject areaThe subject area for this position is Computer Science.BackgroundThe post-doc will b...

2 weken geleden geplaatst

Closing in: 1 days

Postdoc

Vergelijkbare vacatures: vacatures in Computerwetenschappen in Zweden

Jönköping University

Jönköping, Zweden

Assistant Professor in Computer Science

School of Engineering is recruiting three Assistant Professors in Computer Science with specializations in Deep Learning and reinforcement learning, Software engineering for AI or ML and/or Trustwo...

6 dagen geleden geplaatst

Sluit op: 2024-09-30

Universitair (hoofd)docent

KTH Royal Institute of Technology

Stockholm, Zweden

Postdoctor in deep-learning methods for wall models

Job descriptionThe goal of this project is to develop wall models for turbulent-flow simulations using deep-learning models. In particular, approaches based on deep reinforcement learning will be p...

3 dagen geleden geplaatst

Sluit op: 2024-11-01

Postdoc

KTH Royal Institute of Technology

Stockholm, Zweden

Doctoral students in learning and optimization for edge computing

Project descriptionThird-cycle subject: Computer scienceThe Division of Network and Systems Engineering is looking for two doctoral students with a very strong background and interest in system mod...

2 weken geleden geplaatst

Sluit op: 2024-10-13

PhD

See all vacatures in Computerwetenschappen in Zweden

vacatures in Kunstmatige neurale netwerken bij Örebro University

Postdoctoral researcher in Neurosymbolic AI

Vergelijkbare vacatures: vacatures in Computerwetenschappen in Zweden

Assistant Professor in Computer Science

Postdoctor in deep-learning methods for wall models

Doctoral students in learning and optimization for edge computing

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