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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
of Biostatistics, Ecology, Biology, Geo-ecology, Geography, Mathematics or related field # Relevant professional experience in the specified area # Sound knowledge in ecological niche modelling and modelling
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dynamics, as it governs key processes like energy balance, turbulence, and thermal structure, directly influencing ecological and biogeochemical responses. However, modeling these dynamics globally remains
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profile Completed PhD degree in mathematical modeling preferably in the field of evolutionary ecology. Experience with developing mathematical models preferably in the field of evolutionary ecology (e.g
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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-host genetic diversity Knowledge of disease ecology and/or mathematical modeling of disease transmission Experience using the command line to manage, manipulate, and transfer files (for example, on high
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environmental simulations and meaningfully advance the modeling of global lake ecosystem dynamics. This is a full-time, two-year position. The application deadline is May 5, 2025, and the expected start date is
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feedback within and between these three ecological ‘layers’ impacts bacteriophage’s virulence. For this project, you need to have experience in mathematical modelling and/or eco-evolutionary simulations, and
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for the position of Postdoctoral Scholar in Quantitative Marine Ecology. The Fredston Lab uses large datasets, theoretical models, and a range of statistical tools to predict marine ecological responses to global