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team. Perform spatial integration (alignment, upscaling/downscaling) for comparative analyses. Assess the distribution of modeled exposures and health impacts across population subgroups. Contribute
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domains of geomorphic systems and hazard and risk research including landslides, "human impact" on geosystems and spatial modeling of geomorphic processes as well as in the applied research including global
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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transfer; spatial neighborhood/domain analysis; multi‑omic modeling for RNA+protein where applicable. Pipeline automation & reproducibility – 10% Implement/maintain Snakemake/Nextflow workflows with
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Systems and Risk Research, which has a sound reputation in the domains of geomorphic systems and hazard and risk research including landslides, "human impact" on geosystems and spatial modeling
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
of the studies are available on https://igcz.poznan.pl/en/phd-studies/poznan-doctoral-school-of-institutes-of-pas/ followed by the fulfillment of requirements as set out in the Regulations for Granting
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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-2026-410 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is focused on advancing non-destructive sensing approaches to improve postharvest