Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
-
unite the worlds of people and technology to address today’s complex societal challenges. We are passionate about understanding human behaviour, fostering responsible innovation, and designing solutions
-
in the complex dynamics of international, European and domestic laws regulating technology, trade, industry, investment, money, and more generally markets. The focus is on how to make the law in any
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
related field. You have a strong interest in visioning and strategy, complex problem-solving, and decision support. You have demonstrable strong analytical and methodological skills, and the ability
-
Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
-
large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning