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candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
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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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Netherlands. The Post Docs will be involved in all parts and activities of the research projects. The workload will be geared towards participation in coordination activities, data collection and data analysis, learning
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graduate and/or post-graduate experience in time-resolved X-ray experiments and a proven record of accomplishment within state-of-the-art simulation and analysis of such data sets. We are looking for a
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling