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the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the … Where to apply Website https://www.academictransfer.com/en/jobs/356464/postdoc-deep-learning-based
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-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
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for professionals and youth at risk" (CONTEXT), funded by an NWO National Science Agenda 2024 consortium grant . The postdoc position will be embedded in the Developmental Evolutionary Ecological Psychology (DEEP
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/356155/postdoc-position-hci-and-inclus… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356155/ Work Location(s) Number of offers available1Company
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-based and machine-learning approaches), the digital twin will provide decision-makers and industry stakeholders with actionable insights about when, where, and how corrosion risk evolves. As a postdoc
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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(PHM) for aerospace operations and maintenance, with strong expertise in sensor fusion, stochastic modeling, and machine learning. Your role: Design, build, and commission a laboratory test bench for
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, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion/transformers), multimodal representation learning, and experience in
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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chains. Has demonstrated experience analyzing textual data using NLP or other machine learning techniques. Has excellent English-language academic communication skills (both written and oral) – CEFR level