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Field
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scientific research by an excellent track record of research outputs and have an ability to work both independently and collaboratively. Excellent written and verbal communication skills, interpersonal skills
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fields: Business Administration Computer Analytics / Artificial Intelligence Primary Education Early Childhood Education Requirements: PhD degree in the relevant field Fluency in English (teaching medium
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, preferably within electronic structure packages, ability to use computational chemistry software to develop understanding of chemical systems, effective communication skills and a Ph.D or equivalent in
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experience in (co-)supervising PhD students (preferably) or Master’s/undergraduate students; e) Demonstrate the ability to lead or contribute to the preparation of project proposals or the acquisition
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. Excellent verbal, written, and interpersonal communication skills, with the ability to tailor information for both specialized and general audiences. Proficiency in written and spoken English; additional
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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- and electronics- workshops, but also with the NanoLab Amsterdam cleanroom facility situated in the neighboring NWO-institute AMOLF; develop deep-rooted expertise with and maintenance of WZI’s research
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Chinese (Cantonese and Mandarin); (v) strong problem-solving, organisational and administrative abilities; and (vi) attention to detail, with the ability to work independently and collaborate effectively
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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-time research assistants you will: play a key role in liaising within the faculty and beyond. For example, with the faculty’s machine- and electronics- workshops, but also with the NanoLab Amsterdam