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Description Postdoctoral research position on the ANR OrDOTime project, which aims to understand the origins, development, and specificity of ordinal representations of time. The recruited researcher will be
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metabolites associated with treatment efficacy, as well as the development of machine learning models with high predictive performance and strong biological interpretability. The ultimate aim of the project is
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and ecological surveillance data, as well as spearhead the development of analysis pipelines. Working off-campus and outside of office hours may be required occasionally. Enquiries about the duties
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, as well as the evolution of muscle properties across species. We combine mouse and cell culture models with a unique collection of muscle samples from diverse species, including black bears, cheetahs
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working in an emerging area of research and be comfortable with working in teams. You will receive mentorship in further developing their own, independent program of research and grant development. Where
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in physics, applied physics or a related field Sound knowledge of Fourier optics, X-ray physics, and metrology Experience in experimental methods or development of instrumentation Experience with
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particular, the postdoctoral fellow will work on three complementary areas: - Development and optimization of imaging analysis protocols Improvement of hyperspectral and multispectral photoluminescence (HMSPL
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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research and scholarly training to support development of an independent research career. The fellow conducts research under the guidance of a Principal Investigator (PI), engages in professional development
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21 Sep 2026 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Neurosciences Researcher Profile Recognised Researcher