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regions. Producing regional and nationwide biodiversity-related forest maps and assessing their accuracy and ecological relevance. Publishing results in high-quality international scientific journals and
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consortium. The position is filled for three years and will offer the successful candidate the opportunity to participate in an exciting international training programme, including doctoral schools, workshops
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
University is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people
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. The project therefore offers the opportunity to work at the intersection of medical imaging AI, methodology and European regulatory science within an international consortium. Where to apply Website https
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a multidisciplinary team, communicate effectively, and take initiative Prior publications and experience presenting at international conferences are assets but not requirements Doing a PhD at TU Delft
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heterogeneous networks, please see our recent preprint . Duties of the position The candidate is expected to present their results at international conferences and to attend courses and schools on relevant topics
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, supporting luminescence dating, presenting results at conferences, and publishing in international scientific literature. Requirements for Employment: Excellent Master’s degree in Geography (with a focus on
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environment. The project will also include a postdoctoral researcher. As part of this team, you will collaborate with national and international partners, including the Integrated Carbon Observation System
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented