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opportunities through courses, e-learning programs, and coaching sessions Structured onboarding: A systematic introduction to your new role and team Healthy at work: A wide range of health and wellness programs
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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Job description: The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that
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analysis or habitat monitoring Highly valued: Experience applying AI or machine learning methods to remote sensing data Experience with drone-based point cloud collection Experience working with or advising
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
department. Contact info Applicants seeking further information are invited to contact Professor Alfred Spormann, e-mail: aspormann@corc.au.dk
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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work
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and modern data-analysis workflows Experience with unsupervised learning, clustering, and integrative analysis Ability to translate computational findings into meaningful biological and translational
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Branch in Galveston, Texas (USA). This research stay constitutes an integral part of the Postdoctor position and aims to develop the techniques and acquire skills required to implement pregnancy-on-chip