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Field
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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. Knowledge and prior use of Machine Learning and AI/deep learning for G2P or genomic epidemiology analyses will be considered an asset. Experienced user of various QA/QC tools and bioinformatics pipelines
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track record of publications in relevant scientific fields Expertise in tissue engineering will be an asset. Good communication skills in spoken and written English are essential. Application: Interested
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factors. Knowledge and prior use of Machine Learning and AI/deep learning for G2P or genomic epidemiology analyses will be considered an asset. Experienced user of various QA/QC tools and bioinformatics
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design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI
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the following areas: Programming language semantics and type systems Functional logic programming Property-based testing Interactive theorem proving (such as Agda, Lean, or Rocq) Domain-specific
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—is considered an asset. We are looking for candidates who: Can formulate and further develop research questions and justify methodological choices Can structure their own scientific development and
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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, Repast, GAMA, AnyLogic, or similar platforms). Excellent communication skills and ability to work in interdisciplinary teams. Fluency in English. The following are considered strong assets: Experience with
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant