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Mathematics » Probability theory Physics » Mathematical physics Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 8 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status
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on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant
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of this position is to conduct independent research and develop theories and methodologies that help in improving the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a
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of candidates, great emphasis is placed on study results and completed courses. An earlier specialization in machine learning, control theory or mathematics is highly desirable and especially meritorious After
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or her work collaborate with others, have a professional approach and analyze and work with complex issues. draw from critical, feminist theories as a way of stimulating a design process utilise creative
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adaptation, emission reduction targets, and equity considerations. The methodological approach will combine theory-driven and data-driven modeling with an aim to construct AI systems grounded in behavioral
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issues. knowledge in process modelling and material/energy balances programming skills (Python) qualitative research methods, innovation theory, socio-technical systems theory After the qualification
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. In this doctoral project, you will contribute to the theory formation for mobile sub-THz and THz wireless communication systems for 6G and beyond and establish yourself at the international forefront
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develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
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accountable and inclusive technologies. As a researcher, you will be part of an interdisciplinary team working at the intersection of computer science, feminist theory, and social justice. You will contribute