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include: Taking responsibility for project management, you will define key milestones, organize and conduct experimental work, and track overall project progress. You will coordinate project teams with a
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field. Extensive experience and in-depth knowledge in the field of microelectronics and semiconductor manufacturing. You already have a proven track record in leading project or research teams. Structured
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian
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engineering the LPC process for emerging applications. Aim and Objective In this project, we define LPC as the unifying theme for different non-related emerging applications. We will conduct a systematic study
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. The ideal candidate will have: • A Ph.D. in urban studies, geography, architecture, or a related field. • Extensive experience in ethnographic and qualitative research methods. • A proven track record of
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extent in the state of the art. The work pursues two interrelated objectives. Firstly, a concept for the creation of strategies based on natural language is to be designed and implemented in order to
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an asset Proven track record of publications and, at best, in grant writing Strong communication skills, fluency in English and German and a collaborative spirit We offer: Room to bring and develop your own
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(internal and external) Your profile: Ph.D. in biology or related discipline Minimum one year of postdoctoral experience in iPSC research Profound expertise in CRISPR-editing Proven track record
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expertise in bioinformatics, programming and/or database administration would be an asset Proven track record of publications and in grant writing Strong communication skills, fluency in English and German
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available in the further tabs (e.g. “Application requirements”). Objective With its development-oriented postgraduate study programmes, the DAAD promotes the training of specialists from development and newly