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centralization. Methods may include multiple regression, panel data models, difference-in-differences, and multilevel modeling. The postdoc will take part in the analysis to test hypotheses on how specific
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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materials with fewer inputs, less environmental impact, and reduced greenhouse gas emissions. Within bioscience, the department has research in bioprocess technology, molecular biotechnology, enzyme
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and goals Your primary task as a postdoc is to conduct research into quantum algorithms and information. You are expected to take an active role in advancing the research projects of the MQS group. Our
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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energy converters based on III-V compound semiconductors. Our work spans the full range of topics from epitaxial growth and material development to device design, characterization and modeling, fully
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aspects of life. We work in an office-based model, with the primary workplace located at the Otaniemi Campus in Espoo. Life on the revitalized campus is vibrant, featuring stunning architecture, tranquil
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development projects based on your interests and needs. We value work-life balance and well-being in all aspects of life. We work in a hybrid model, with the primary workplace located at the Otaniemi Campus in
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position for 2 years) We are looking for an early career researcher interested in responsible use of large language models (LLMs) to facilitate and support qualitative research methods, particularly in
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position for 2 years) We are looking for an early career researcher interested in responsible use of large language models (LLMs) to facilitate and support qualitative research methods, particularly in