27 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Tilburg University in Netherlands
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, democratize creativity, and expand access to artistic and cultural practices through new forms of human-machine collaboration. This PhD vacancy is open for a candidate interested in exploring the relationship
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quality can learn from early modern cities. By tracing how civic communities once organised and enforced measures to protect water resources, the project connects historical practices to contemporary policy
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finance researchers at Tilburg University. The expectation is that the candidate is on the Tilburg University Campus for at least 50% of the working hours. Where to apply Website https
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chains. Has demonstrated experience analyzing textual data using NLP or other machine learning techniques. Has excellent English-language academic communication skills (both written and oral) – CEFR level
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. The researcher will contribute to the HySUCCESS project (https://groenvermogennl.org/project/hysuccess/ ), part of the national GroenvermogenNL initiative supporting the development of a sustainable hydrogen
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) human rights impacts’ (Su2) and ‘Protecting workers and other stakeholders in modern organizations’ (Te2). Where to apply Website https://www.academictransfer.com/en/jobs/357217/phd-candidate-in-fostering
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. Are you eager to explore the role of such social dynamics, drawing on insights from multiple disciplines? Are you curious about what we can learn from energy-related interactions in different contexts, from
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Program ‘Crime, Criminal Justice and Vulnerability Theory’. Where to apply Website https://www.academictransfer.com/en/jobs/357219/phd-candidate-in-criminal-law-o… Requirements Specific Requirements Tilburg
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proactively. Experience in design, prototyping, basic programming, AI and/or machine learning are a plus. International PhD candidates with scholarships below the applicable IND income standard (currently
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from, collaborate with, support, or improve humans; Deep Learning for Perception: Use of deep learning algorithms for computer vision, image and audio processing, and models of perception. The focus is