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-Informed Machine Learning perspective [1]. The doctoral student’s thesis will focus on operationalising this perspective through the development of Biology-Informed Gaussian Processes (BioGPs
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including a background in ergodicity theory; Reinforcement learning, dynamic programming, and Markov decision processes; Programming skills (Python). What we offer Fully funded doctoral researcher’s position
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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Postdoctoral researcher in the field of the Advanced Life Cycle Assessment (LCA) of bio-based processes and products The postdoctoral researcher will work as expert in LCA for bio-based processes and products
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integration. The research will result in three main publications covering lessons learned, design development, and prototype testing. In the final project phase, the doctoral researcher will spend 6 months
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degree, in speech or audio processing, machine learning, signal processing, computer science, electrical engineering, or a related field. Strong interest in doctoral research on audio deepfake detection
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as
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learning, signal processing, computer science, or a related field. Strong experience with deep learning and generative models. Programming skills suitable for modern machine learning research, preferably
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). Optics (light–matter interaction, design of optical imaging systems). Machine vision (including hyperspectral imaging and image analyses). In addition, we value: Strong communication skills. Excellent