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performance under environmental stress. Training in geospatial analysis and ecological modelling will enable predictive insight into urban ecosystem dynamics. You will develop expertise in stakeholder
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editing), transcriptomics, laser scanning confocal microscopy, computational imaging approaches for analysis of images and movies, stimulating neuronal function with opto- and thermo-genetics in vivo, and
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Examination (HINE). However, current predictive models lack integration of these modalities and precision in individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded
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of methodologies for analysis and visualization of time-dependent data. Research and development of methodologies for analysis and processing of geometry data, e.g., technical plans or 2D/3D CAD objects. Evaluation
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is part of an ERC-funded Advanced Grant project that is focussed developing fully closed-loop recyclable, bio-derivable polymer for use in 3D printing. The PhD will build upon published work from the
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years of post-doctoral experience. Knowledgeable in organic chemistry, physical chemistry, stable isotope geochemistry, principles of mass spectrometric analysis. Ability to work independently. Experience
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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proteomics workflows for the analysis of circulating tumour cells (CTCs) from small-cell lung cancer (SCLC) patients. You will work closely with MIPrecise partners to implement and optimize molecularly
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), 39.2 hours/week (100% position). The position is generally suitable for part-time employment. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of the leading epidemiological
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culture supernatants, coupled to a variety of functional and phenotypic assays. Findings from these studies will be validated in vivo in animal models and incorporated into an integrated analysis framework