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control (e.g. GitHub) is a plus. Excellent analytical skills, a collaborative mindset, and strong scientific writing abilities. Conditions of employment We offer you, following the Collective Labour
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Do you want to challenge prevailing narratives and contribute to new, ethical approaches to heritage management and knowledge production? This project presents an opportunity for a PhD candidate to
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months, an assessment will take place of the candidate’s results and the progress of the PhD project, in order to decide whether employment will be continued. - The PhD candidate is expected to conduct a
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be appointed for twelve months. After 11 months, an assessment will take place of the candidate’s results and the progress of the PhD project, in order to decide whether employment will be continued
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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pleasant working atmosphere with people who care about each other. Even if you do not fully meet the above requirements but still think you are suitable for this position, we warmly invite you to apply
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pottery classification methods is an asset. Experience with open data and data management for (web)GIS applications. A valid driver’s license for the full duration of employment, with the willingness and
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2026 Selection process Do you meet our qualification criteria? If yes, you’re invited to apply with the following documents: - Cover letter, stating your motivation to apply for the position and your key
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
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enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do