45 parallel-processing-bioinformatics positions at AALTO UNIVERSITY in United Kingdom
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can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware accelerators; signal processing hardware system
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computational research on materials science, with a focus on metallic alloys. The Materials to Products (M2P) research group investigates the properties and performance of engineering materials processed by
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of the Department of Chemical and Metallurgical Engineering in the School of Chemical Engineering is based on sustainable utilization of raw materials, designing more efficient processes and developing new
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) For questions related to the application process: hr-arch@aalto.fi We will review applications as they arrive and may invite suitable candidates for interviews during the application period. You will hear from us
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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the impacts of the characteristics in different scales of the investigated processes on their overall techno-economic-environmental-energy efficiency. This is an interdisciplinary project requiring expertise in
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process development in the cleanroom Assemble and use custom test
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application process, and to consider candidates who have not submitted applications during the application period. Further information Want to know more about us and your future colleagues? You can watch these
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device nanofabrication and clean room processing of 2D materials (required). Skill sets of handling low-temperature and ultra-high vacuum systems, such as molecular beam epitaxy (MBE) or STM experience