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on a predictor X; candidates should understand how this function performs the analysis (e.g., estimates the effect size, assesses significance). Most likely, the applicants will have a BSC and/or PhD
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to have improved projections and more robust estimates of uncertainty. The project provides training and growth opportunities in AI. Candidates who have strong interest in machine learning, but minimal
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performance. To investigate the ecophysiological consequences of an ice-free Arctic for marine fishes, the post-doc will estimate the field metabolic rates for a range of marine fish species using a novel
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge