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to candidate, e-mail and phone number) The application with all attachments must be submitted via our electronic recruitment system. The attachments should be in the form of one or two pdf files that includes
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publications List of reference persons: 2-3 references (name, relation to candidate, e-mail and phone number) The application with all attachments must be submitted via our electronic recruitment system
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attachments must be delivered in our electronic recruiting system, please follow the link: “Apply for this job”. When evaluating the application, emphasis will be given to the project description and the
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power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English English requirements for applicants from outside
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language). The application with attachments must be delivered in our electronic recruiting system, please follow the link: “Apply for this job”. When evaluating the application, emphasis will be given
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persons: 2-3 references (name, relation to candidate, e-mail and phone number) - The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply
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their first years) PhD Fellows may acquire pedagogical competency upon agreement How to apply The application with attachments must be submitted in our electronic recruiting system. Please follow the link
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Econometrics Virtual power plants Power systems and/or power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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submitted in our electronic recruiting system. Please follow the link “apply for this job”. The online application must include the following items, which are to be submitted before the deadline (all