54 assistant-professor-and-human-centric-computing PhD positions at University of Groningen in Netherlands
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candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR, worker rights frameworks) supports and/or restricts AI adoption in the uptake of AI in the process of
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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communication skills to be able to act as an excellent team player Capacity to think analytically and creatively Preferred qualifications Previous experience in nanoparticle characterization or methods such as
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw