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strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long-term research career in academia
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing
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, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective of the project is first to develop assessment indicators based on the MFD
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applications from qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and
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skills as well as very good English skills. Preferred Qualifications: • Strong interest in RISC-V, architecture and High Performance Computing • Experience with low level software and tools Key objectives
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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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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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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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), with lively interactions with national and international partners from different disciplines. Your tasks The main objective of this PhD project is to investigate the ecophysiological and morphological