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Research Infrastructure? No Offer Description If you are interested in drinking water and appreciate modelling drinking water distribution networks, this project is for you. You will work in an academic
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If you are interested in drinking water and appreciate modelling drinking water distribution networks, this project is for you. You will work in an academic environment within ongoing research
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(Helsingborg) ESSF01 Analogue Circuits, study period 3 and 4 ETIN45 Integration of Hardware Efficient Algorithms There may also be work in other courses than above. Qualification requirements Only those admitted
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collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
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command of Swedish. Part of the Mistra funding can be used to finance costs like materials, equipment, consumables, and salary for PhD student/postdoc. The candidate is expected to participate in a Mistra
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The applicant will work in close collaboration with the PIs, PhD students, postdocs, and other researchers to help shape a well-functioning collaborative laboratory environment. The applicant is expected
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-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
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problems and generative models. This PhD project investigates how generative AI models, particularly diffusion models, can be used as prior distributions in Bayesian inverse problems. The aim is to develop
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maintenance of gas distribution, gas detection and vacuum systems. Troubleshooting Skills: Proven ability to diagnose and repair gas distribution and cooling systems down to the component level. Vacuum
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develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and