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Field
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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(R2) Established Researcher (R3) Leading Researcher (R4) Other Profession Positions Postdoc Positions Country Iceland Application Deadline 31 Oct 2025 - 00:00 (Atlantic/Reykjavik) Type of Contract
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related field Demonstrated experience in interdisciplinary research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
possible thereafter. Tasks The postdoc will be part of the research groups of Drs. Alfred Spormann and Lars Angenent in a joint collaborative project. We are seeking highly talented and motivated staff
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of tickler chains. Wageningen University and Research and its partners are developing detection-based fishing techniques that mitigate the current negative impacts. The Postdoc will focus on advancing novel
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) Positions Postdoc Positions Country Denmark Application Deadline 21 Sep 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Dec 2025 Is the
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providing financing, and in reporting. In this postdoc position, we are looking for someone with academic curiosity to better understand approaches to ‘value’ regenerative farm performance in food system
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possible thereafter. Tasks The postdoc will be part of the research groups of Drs. Alfred Spormann and Lars Angenent in a joint collaborative project. We are seeking highly talented and motivated staff
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic