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Field
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bio-medical applications. A central feature of NEO is an embedded ethics approach, integrating ethical research directly into ongoing laboratory and clinical development processes. Your tasks
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primarily from a psychological and pedagogical perspective. It is characterized by the individual perspective on educational processes, which focuses on the experience and behavior of the individual embedded
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that we are unable to reimburse any travel expenses associated with the interview process. We look forward to your application! The position is suitable for disabled persons. Disabled applicants will be
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long application procedure. After the nomination, the fellowship can be awarded in 4-8 weeks! There is only a formal check if you fulfill the criteria (PhD no longer than 4 years ago, no previous
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practical experience in machine learning, especially deep learning and its practical application in the domain of language processing and sensor analysis Solid practical experience in the field of natural
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women to apply. The hiring committee will conduct a first set of interviews online. Application procedure We will review applications on an ongoing basis until the closure of this vacancy on March 31
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survey platforms (e.g., Qualtrics) is highly valued. Selection Process Application Submission: Applications must be submitted by 23 November 2025. Selection Criteria: Candidates will be evaluated based
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experience with multimodal sensor systems Practical experience in the field of natural language processing, especially large language models, prompt engineering, finetuning, retrieval augmented generation (RAG
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systems Practical experience in the field of natural language processing, especially large language models, prompt engineering, finetuning, retrieval augmented generation (RAG), and GraphRAG approaches
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to apply. We offer a 70% position for those interested in pursuing their scientific Ph.D. thesis on this topic. This interdisciplinary project focuses on ALD processes on porous substrates for a variety of