22 phd-communication-and-signal-processing Postdoctoral positions at Chalmers University of Technology in Sweden
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is not your native language, Chalmers offers Swedish courses to help you settle in. Application Procedure Please submit your application in English as PDF files according to the instructions below
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure For information about the application procedure please refer to
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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effectively communicate scientific results both orally and in writing. You will also mentor and support PhD/master’s students working on related projects. Another important aspect involves collaboration within
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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focuses on the development of new materials and processes for electronics packaging and bioelectronics applications. The research of the electronics packaging group in the Electronics Materials and Systems
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diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC