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Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland
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opportunity to engage in innovative research at the intersection of optimal control, machine learning and robotics. Job Description As ALCAN Research Group, we work on the safety and reliability of complex
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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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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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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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settings. Using advanced compressed sensing techniques and machine learning methods, PulseZTE will make it possible to image neural activations and vascular pulsations simultaneously. It will also enable
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, communicate proficiently, and have collaboration skills Knowledge of 3D computer vision, tomography reconstruction, electron microscopy, and MRI is a plus. Your benefits You will have access to the university’s
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to teaching or supervision duties. Requirements The successful applicant should have a doctoral degree in statistics, mathematics, machine learning, or other relevant field, and experience in developing and
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive