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looking for a self-motivated colleague who is expected to: Hold a Master’s degree, with an excellent study record, in Electrical Engineering, Electronics, Microelectronics, Signal Processing, or a
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sciences, geoinformatics, physics, computer science, or a related field. Strong programming skills, for example in Python or R, are required. Experience with point cloud processing, terrestrial or airborne
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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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community. The School of Chemical Engineering ( CHEM School ) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Atomic Scale Processing group
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contextual and behavioral cues to understand human actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows Aalto's standard 2+2 model. It will be
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Engineering, or a closely related field. Additional studies or research experience in computer science, data science, or artificial intelligence will be considered an advantage. Excellent written and fluent
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evaluation of the additional losses in the variable-speed electric machines Requirements Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or
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Processing, or a closely related field, completed by the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar