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Field
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
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funded by the German Center for Infection Research (DZIF), in collaboration with national and international partners, including the Cluster of Excellence RESIST and the Helmholtz Centre for Infection
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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint
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, you will express and purify the relevant W-enzymes from natural and heterologous hosts for characterization and biocatalytic experiments. The work will include protein engineering and enzyme
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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possible thereafter. The position will be available for a 2-year period. Wetland restoration is increasingly promoted as a nature-based solution to climate change and biodiversity loss. However, the long
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candidate will join the EDFM group at the Technical University of Munich to advance our understanding of the adaptive capacity of European forests to natural disturbances. This position is embedded in the DFG