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post doc position. Expected start date and duration of employment The position is from 01 January 2026 or as soon as possible thereafter. There is currently funding for a 1 year position but come
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the skulls of head-first burrowing lizards? Then the Department of Chemistry invites you to apply for a 2.4 year post doc position in Henrik Birkedal’s research group. Expected start date and duration of
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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applications for a post doctoral position in the group of Prof. Kurt Gothelf. The position is a two-year position starting on 1. August 2025 Nucleic acid-based therapy has recently been established as a new
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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visit our homepage . Expectations and qualifications Applicants must hold an MSc, DVM, or MD degree, and a PhD, with research experience within one or more of the following areas: Clinical or molecular
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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formation and changes occurring during processing and digestion. The starting date is November 1, 2025, or as soon as possible hereafter. The research project This post-doctoral position is part of the EU
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
. Contact info Applicants seeking further information are invited to contact Alfred Spormann, e-mail: aspormann@au.dk Deadline for application and the recruitment process The application deadline is 30th
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process