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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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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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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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Karttunen, and Prof. Kari Laasonen, who will supervise the postdoc positions advertised here. We are seeking candidates with expertise in one or more of these areas: Machine-learning interatomic potentials
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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. The applicants should have demonstrated the ability to teach competently and to publish internationally. The position requires fluent skill in English. Finnish and other language skills are considered a merit
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facilitating co-creative workshops — grounded in an action-research approach in which the research process itself helps to co-create new innovation practices. On the conceptual side, you will contribute
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to learn. What we offer Our postdoc positions are fixed-term contracts for 1–3 years , with start dates between October 2026 and October 2027 (negotiable). The current salary for a postdoctoral researcher
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within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization