590 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Netherlands
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written and spoken English. You will be expected to teach at an academic level in English. Employment conditions and benefits The conditions of employment correspond with the collective labour agreement
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information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During
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-academic dissemination (e.g., policy briefs, advisory reports, media contributions); proficiency in Dutch, or willingness to acquire reading competence to engage with Dutch educational and policy contexts
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relationship management and communication skills; the ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive
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on their qualifications, skills, and potential. Your background, gender, beliefs, or origin don’t matter. Candidates should be able to demonstrate motivation, eagerness to learn, and ability to work both independently and
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: Advancing understanding of variability in motor control and learning to enhance clinical practice (TReND)’. The project commenced on 1 September 2024. As one of the original doctoral candidates is no longer
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Qualification portfolio. You will be part of the WECARE research team, led by Dr Sonja Marzi (PI). Your supervisors will be Dr Sonja Marzi, Dr Tine Davids and Dr Edwin de Jong. Would you like to learn more about
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information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During
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management and communication skills; ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; strong
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relevance for business and society. Candidates preferably have proven expertise and interest in qualitative, statistical, experimental and/or computational skills, and should be eager to learn new