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Field
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addresses the following central research question: how can we design human-AI collaboration to mitigate biases and foster equitable decision-making? To answer this question, the research will explore areas
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and foster equitable decision-making? To answer this question, the research will explore areas such as the following: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual
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Responsibilities of Financial Institutions for Decarbonization” Project description The financial sector plays a crucial role in directing investments to sustainable causes. So far, sustainable investment has been
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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cosmic rays and gravitational waves. The Amsterdam gravitational-wave group has broad expertise including in (active) seismic attenuation, inertial and position sensor development, interferometer
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or functions are primarily responsible. You will use DNA sequencing technology to characterize the microbial communities associated with these functions. In addition, you will design and develop a new method to
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elements in technical industry and advise firms on responsible, strategic AI use. Using literature reviews, case studies, survey research, and scenario analyses, you will help build actionable insights and
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Do you want to research the rules that shape transparency of regulated digital technologies and data in the EU? Analyse case law from EU courts and regulators that strike a balance between
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scenario analyses, you will help build actionable insights and decision-support tools for responsible AI adoption. You will work closely with academic experts and industrial collaborators, contributing
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, organoids and infant GuMI models, metabolomics and proteomics, the goal is to identify beneficial bacterial metabolites and genes that are responsible for immune training. The project is part of NeoGutChip