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Section; Emission and Atmospheric Modelling, Professor Peter Langen plangen@envs.au.dk , +45 2061 8369. Deadline Applications must be received no later than May 2, 2025 Application procedure Shortlisting is
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Section; Emission and Atmospheric Modelling, Professor Peter Langen plangen@envs.au.dk , +45 2061 8369. Deadline Applications must be received no later than May 2, 2025 Application procedure Shortlisting is
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
patterns, species diversity, and biosphere-climate interactions, with a focus on carbon storage, albedo, and evapotranspiration. This will be addressed using process-based vegetation models and species
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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data set to be used for Machine Learning (ML). They will validate a predictive model generated by ML by preparing new samples with ideal monomers and contrasting their properties with predicted values
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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-mineralization. To synthesize the findings to formulate and assess the performance of self-sensing and self-healing cementitious composites. The candidate will work in a multidisciplinary environment consisting of