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of such comprehensive data, it is possible to train more accurate models for minority groups and individuals suffering from rare diseases. We seek to make health data machine learning models more versatile, and improve
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models for minority groups and individuals suffering from rare diseases. We seek to make health data machine learning models more versatile, and improve privacy safeguards, advancing public health and
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position within a Research Infrastructure? No Offer Description Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research
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biogeography, with a strong emphasis on computational data analysis. Alternatively, the candidate may hold a master’s degree in statistics, machine learning or related field, accompanied by prior experience
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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at Aalto University (https://into.aalto.fi/display/endoctoralsci/How+to+apply#Howtoapply-Eli… ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science
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and machine learning is necessary. Additional knowledge in optimization, reinforcement learning, and model predictive control is highly desirable. Technical Proficiency: Strong skills in Python and
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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(FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our interdisciplinary team. Project overview This project aims to develop machine learning models
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will