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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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, 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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), 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
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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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or equivalent in one of the following: law, and or/ ethics or other relevant field is required. Key Responsibilities Conduct research as outlined in the project’s objectives under the supervision