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Field
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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complementary expertise in vegetation structure and functional traits, ecosystem carbon cycling, soil microbial ecology, remote sensing and process-based modelling provides a unique interdisciplinary training
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motivated candidate, with a keen interest in plankton trait-based ecology and ecosystem modelling. You enjoy process-based ecosystem modelling, are well-organized, have a collaborative personality but are
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organisations, and energy sector partners. Are you passionate about marine ecology, ecosystem modelling, and the sustainability of offshore renewable energy? Within North Sea POWER, Naturalis offers a PhD
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the BioGeomorphology Laboratory flume, field datasets from restored and natural saltmarshes across the UK, and expertise from researchers in coastal ecology, hydrodynamic modelling, AI, and data science. Objectives
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environment, collaborating with experts in atmospheric chemistry, ecology, air quality, exposure science and environmental modelling. The position offers excellent training opportunities, access to national and
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science Environmental science » Ecology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Aug 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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for an enthusiastic and motivated candidate, with a keen interest in plankton trait-based ecology and ecosystem modelling. You enjoy process-based ecosystem modelling, are well-organized, have a collaborative
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University (UU) and the Netherlands Institute of Ecology in Wageningen (NIOO-KNAW), we will tackle these challenges by using an apomictic dandelion lineage as a unique model system. Because apomictic plants