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] until 31st March 27 . Many of our team have flexible working patterns so we’re open to discuss flexible working arrangements with you. If it sounds like you would be a good fit, we look forward to hearing
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requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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of computer and audio/visual equipment. We welcome and encourage applications from individuals of all backgrounds, especially those from groups traditionally underrepresented in the field of museum education
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contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and
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/ TVöD. The successful candidate will work in the project MECAM – Merian Centre for Advanced Studies in the Maghreb: https://mecam.tn/?lang=en , funded by the German Federal Ministry of Research
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multidisciplinary applied research team. Detail-oriented, self-motivated, and able to work independently as well as collaboratively in multidisciplinary teams. Good communication and stakeholder management skills
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organizations in AI and healthcare initiatives. Application Instructions Applications MUST be submitted using Interfolio (https://apply.interfolio.com/170999 ) and include: Curriculum vitae Three (3) names
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Fellow to join the
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-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key
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communication skills and excellent interpersonal skills Excellent good organisational and time management skills Advanced computational skills, including demonstrated ability to wrangle large text-based datasets