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Field
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algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts to translate AI to routine use are emphasized Highly motivated with
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significant research experience and deep familiarity with AI algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts
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fuel moisture content, the on/off switch for forest fire’. In this role, you will collaborate closely with esteemed colleagues from the Australian National University to develop an innovative model
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Multivariate Modelling for CO2 Capture Apply for this job See advertisement About the position TThe Faculty of Technology, Natural Sciences and Maritime Sciences has a vacancy for a temporary 100 % position as
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reports for community stakeholders (e.g., past participants, community partners). Expertise in advanced quantitative research methods to evaluate programming is needed. Also valuable is experience with
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contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world
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to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools
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in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer. The project The position’s objective is to advance sea ice remote sensing research in one
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization
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chemistry, biochemistry, molecular genetics, bioinformatics and advanced technology development. Through their direct association with established medical research centers (NeuroSysMed with a focus on