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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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» Other Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Application Deadline 31 Jan 2026 - 17:00 (Europe/Zurich) Country Sweden Type of Contract
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highly interdisciplinary setting combining microbial mutagenesis assays, mammalian cancer models, next-generation sequencing, bioinformatics, and machine learning. Experimental data will be integrated with
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service, or similar circumstances, or other forms of appointment/assignment relevant to the subject area. Application A complete application should include: A cover letter clearly describing your
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. The vision is a sustainable future through materials science. Read more: https://wise-materials.org . Project description Project title: Heterogeneous catalysis for sustainable organic synthesis. Supervision
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innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. More specifically, at NRM this research will be
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particle physics division at Stockholm University, which currently consists of six faculty members, four researchers and postdocs and seven PhD students. The focus will be on analysis of the high energy
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matter observatory. Main responsibilities The postdoctoral candidate is expected to focus on statistical data analysis including machine learning, Monte Carlo simulations, operations and calibration
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organizations, military service, or similar circumstances, or other forms of appointment/assignment relevant to the subject area. Application The application should include: 1. A cover letter with description of