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Field
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This position is
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
, and study issues of policy relevance, such as demographic change, aging, health, intergenerational transfers, as well as the digitalization of life. Methodologically, they use novel data sources and
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transport in N-Heteropolycycles with novel ultrafast microscopy methods (Dr. Julia Anthea Gessner) For more information, please see our website: Research in our group focuses on Ultrafast Dynamics in
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, networking opportunities with other postdocs, a blog on career-related events and relevant information, a monthly newsletter with announcements of upcoming workshops, events, funding and job opportunities, and
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(e.g., 16S rRNA gene sequencing, metagenomics) and associated laboratory procedures Interest in the human microbiome and clinical research Experience in project and data management is an advantage
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of family and career Consideration of personal wishes regarding the weekly working schedule Information regarding the position Paygrade E13 according to TVöD VKA-K. Your job grade depends on your job
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in various plant species. All available projects are detailed at www.mpipz.mpg.de/imprs/proposals where applicants will also find more information about the host groups. YOUR PROFILE | You are a
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December 2025. For more information on available projects, eligibility criteria and the application process, please check the IMPRS-IDI website . Contact: IMPRS-IDI Coordination Office imprs-office@mpiib