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2nd September 2024 Languages English English English The Department of Teacher Education has a vacancy for a PhD Candidate in Environmental Humanities, Language Education and Artificial Intelligence
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professional activities Curious mind-set with a strong interest in heavy-ion physics Good language skills *************************************************************************** Application and Assessment
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
A wide range of offers to help you balance work and family life: on-campus kindergarten places, parent-child offices, etc. Further training opportunities and free in-house language courses Spacious
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project Relevant publications Relevant work experience Other relevant professional activities Curious mind-set with a strong interest in intrinsically disordered transcription factors Good language skills
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Materials Good language skills *************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English
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atoms or similar. Curriculum vitae (CV) including information about your education, experience, language skills and other skills relevant for the position Original diplomas for Bachelor of Science and
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What you'll receive A stipend scholarship of $32,192 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. You will...
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analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological
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collaboratively in a multidisciplinary research environment, and excellent communication and data analysis skills. The working language is English. Strong candidates have a master degree in Data analysis
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application of Large Language Models (LLMs) is potentially useful for software generation. This potentially enables faster and more effective coding by means of adequate prompting. In this research we aim