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background in machine-learning and FPGA programming and be familiar with mixed-signal integrated circuit design.
What we offer:
- The possibility to
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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of AMR infections. The specific aims of this project are: 1. Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context. 2. Detect
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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Doctoral Researcher in Trustworthy Machine Learning Employer AALTO UNIVERSITY Location Finland (FI) Salary 3168 EUR per month Closing date 31 Oct 2026 View more categories View less categories Job
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 8 days ago
health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental biology, chemistry, and medicine
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 28 days ago
requirements, we encourage you to apply. For further information about CLS and to register your application please visit: https://learning-systems.org Keywords: optimization Machine Learning Control Systems
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the