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Field
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(deep learning) for subsurface studies (seismic interpre-tation). A part of the candidate’s job is to contribute to administrative work in the pro-ject and actively participate in communication with other
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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understanding, anticipating, and managing risks posed by harmful algae to seafood production, public health, and consumer confidence. The successful applicant will have a PhD and demonstrated expertise in seafood
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is the Department of Informatics at Blindern, Oslo. Project
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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. Qualification requirements A PhD degree within neuroscience, psychology, medicine, machine learning or biology or equivalent. Doctoral dissertation must be submitted for evaluation by the closing date
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer