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desirable: electrochemistry, electrocatalysis, automation and data treatment, element analytics (Mass spectrometry, XPS, EDX) Intrinsic motivation to show initiative, creativity, and to work independently
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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fundamentals of chemical reaction engineering Construct and operate continuous experimental plants Use state of the art techniques to investigate the functioning of applied catalysts Develop analytical
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-psychophysics, employing unique retinal imaging and light stimulation techniques based on high-resolution adaptive optics scanning light ophthalmoscopy. Further information about the scope of our research can be
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Stay engaged with the latest research, experimenting with cutting
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design innovative memory arrays for non-volatile memories Develop
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for RTL design (VHDL, Verilog) of digital blocks and
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in analytical theory from Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research