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Field
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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We welcome applications via our website from 25 August - 07 October 2025.The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student positions in
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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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order to better understand, explain and advance society and environment we live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied
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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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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Neurology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $62,232 FLSA Status: Exempt Work