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individuals who have or will soon receive a PhD in Economics focusing on firm dynamics, structural transformation, economic growth, spatial economics. The appointment is for 3 years and will begin September 1
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project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
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well as two insectaria (BSL-2/BSL-3). Eight research groups are currently based at the Institute of Immunology (IfI). Further information on the IfI can be found at https://www.fli.de/de/institute/institut-fuer
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 days ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics