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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion: Sports, company doctor, mental health initiatives Interested in applying
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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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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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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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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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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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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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
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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