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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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Biology and Marine Biotechnology, at the Centre for Functional Ecology. The hiring process under this competitive procedure will be carried out under the CENTRO2030-FEDER-02614400 project, “MARCentro
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soon as a decision has been made. If you are still eligible after the preselection, you will be informed about the possible next step(s) in the selection procedure. We kindly ask you to already keep the
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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process WHERE TO APPLY: UDC online services site. Applications should be addressed to the Office of the Vice-Rectorate for Research and Transference, and include the call reference. DEADLINE: 5 working days
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, particularly reduced graphene oxide and doped carbon systems. Experience in synthesis and characterization of graphene derivatives and composites. Knowledge of catalytic processes and nanomaterial integration
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the hiring process. The university is committed to equal opportunities and diversity. It therefore takes individual’s situation into account and asks for relevant information. Application Applications must
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% Administrative Draft, edit, and process a wide variety of written materials related to grant-supported research activities, including reports, statements of work, and email correspondence Assist in establishing
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and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-155/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut P
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details