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Field
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skills, which are relevant in academic teaching as well as in many non-academic professions, and supports PhD candidates in elaborating their own teaching portfolios. Multi-track supervision and mentoring
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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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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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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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to revolutionize the research field in 3D learning. Research topics include: - Neural Rendering: 3DGS, NeRF, etc. - Generative AI: Diffusion, LLMs, GANs, etc. - 3D Reconstruction - SLAM / Pose Tracking (SfM, MVS
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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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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or complementary
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course