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Field
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research team aims to contribute toward finding solutions for sustainable futures that can benefit people and nature. We focus on developing new insights on human-nature interactions and using
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that generate biologically meaningful insights from complex time course experiments. The post holder will perform bioinformatic analysis of proteomic and phosphoproteomic datasets, integrate these with
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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characterization of complex materials and multi-component solutions. Practical knowledge of structural and spectroscopic techniques for material and solution analysis (FTIR, XRD, SEM/EDS, ICP, HPLC). Insight
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
update the Shared Socioeconomic Pathways (SSPs). Engage in stakeholder dialogues and outreach to share insights from global scenario analyses. Requirements: A postgraduate degree (PhD/Dr) in economics
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-characterized samples to identify novel biomarkers and causal and druggable targets. We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
offer real scientific insight. The position offers the scope to pursue these directions and the backing of an active international research network. The department is increasingly engaged in research
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, phosphoproteomic and related multi omics datasets. The role will contribute to the School's research activity by developing robust, reproducible analytical workflows that generate biologically meaningful insights
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state analysis with lab- and synchrotron-based X-ray spectroscopies to gain mechanistic understanding of metal–solvent interactions, insights into oxidation state changes, coordination environments, and
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of the University of Deusto. - Enjoy working with complex, nested, or longitudinal data structures. - Aim to combine theoretical insight with rigorous empirical testing. - Have a strong interest in diversity