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-relevant research challenges such as controlling high precision production machines, optimizing machine tools, or conceiving sustainable manufacturing processes. This position is envisaged to be part of
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about the online application process, please contact the Office of the Dean (dekanat-philnat@unibas.ch). We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please
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automating the detection of individual tree species in forests using deep learning. Specifically, you will: Focus on the application of deep learning techniques in Python to process spatial and aerial data
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material processing and assembly strategies. Your tasks Study the triggered enzymatic crosslinking and disassembly of single biopolymer systems. Characterize the evolution of the structure of the biopolymers
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position requiring high manual dexterity and technical versatility. You will be expected to switch frequently between diverse tasks such as computational modeling, computer-aided design, manual and CNC
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often assume an exemplary character, aiding epistemic and learning processes. They fulfill evidential, didactic, and symbolic functions, and thereby produce different forms of knowledge. Relevant topics
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, you will ensure the smooth functioning of the group's day-to-day operations and contribute to its broader mission. You will handle administrative processes related to finance, human resources
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the know-how from electronics and MEMS processing. While successful for linear optics, nonlinear and quantum metamaterials require the usage of different materials platforms that demand development of new
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are currently evaluating the platform’s effectiveness through a randomized controlled trial and are in the process of founding a non-profit start-up to ensure the sustainable impact of Path2Work. The project is
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Department of Mechanical and Process Engineering/Intelligent Control Systems can be found on website . Questions regarding the position should be directed to Dr. Marianne Schmid Daners, marischm@ethz.ch