Using BEAR to build a database of global forest disturbance data

In the second case study for September, we hear from one of our BEAR Champions, Nezha Acil, about how she has made use of BEAR storage, data processing and our training throughout her PhD, based on studying global forest disturbance data… My name is Nezha Acil and I am part of Thomas Pugh’s TreeMort team … Continue reading “Using BEAR to build a database of global forest disturbance data”

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Detecting malware through AI techniques

In September’s case study, we hear from PhD student Daniel Fentham from Computer Science, who has been making use of BEAR’s storage and data processing power, specifically using GPU’s to accelerate his research. The project I’m currently working on is automated malware detection using Graph Neural Networks, which we’ve needed to create an entire pipeline … Continue reading “Detecting malware through AI techniques”

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From Image Analysis to ThunderSTORM

In July’s case study we hear from Stanimir Tashev, a PhD student in Cardiovascular Science, who has been making use of BEAR’s storage and data processing power, specifically the BEAR Portal to enable his research… I have been a Ph.D. student in the Herten Lab (@HertenDirk) since 2019 and my project deals with single molecule … Continue reading “From Image Analysis to ThunderSTORM”

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