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, or as soon as possible after that. The Department of Electrical and Computer Engineering is organized into sections. The position is anchored in the "Signal Processing and Machine Learning" section [1
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programmers. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related
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of laparoscopic surgery and AI assistance for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All
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are looking for a candidate with a track record within observational research and with experience with machine learning or other relevant data science techniques. The scientific background
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at CPPEM (see more below). We are looking for a candidate with a track record within observational research and with experience with machine learning or other relevant data science techniques. The scientific
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deep learning models, testing and optimizing the models documenting all performed tasks in detail, visualizing the model results, and writing technical reports investigating related software and
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
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often related to domesticated species and humans, but increasingly also on other organisms. Our focus areas include quantitative genetics, deep learning, machine learning, population genetics, integrative
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Start: July 1 Duration: One-year full-time appointment Project: Danish Foundation Models Location: Center for Humanities Computing, Aarhus University Job Description: We seek a highly motivated IT
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externalities of transport. The division is interdisciplinary with scholars originating from transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics