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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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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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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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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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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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stochastic modelling or other established approaches in economics under uncertainty. Readiness or experience in machine learning and other AI methods is a benefit. In addition, the research professor would
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, machine learning, time-series analysis, causal inference) Previous work experience with sensitive personal data Previous experience in pharmaceutical, medical technology, or hospital domain Experience with
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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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(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