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Field
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the framework of R&D institution LAETA, UID.50022.2025, financed by national funds (OE) through FCT.IP, under the following conditions: Scientific Area: Manufacturing and Industrial Management Admission
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
, financed by national funds through FCT. with the financial support of FCT/MCTES through national funds Workplan: Month 1 — Foundations, scope and setup Agree on research questions with supervisor & complete
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. Ideal profile Academic background: PhD in a management or economics field (e.g. sustainability, strategy, accounting, sustainable finance etc.) or related field with a clear focus on sustainability
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, sustainable finance or a related field, with a clear focus on social impact aspects of sustainability for business, and ideally the interaction of social and environmental dimensions. The quality of the PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
), financed by national funds through FCT/MCTES Workplan: The workplan includes the following tasks: review of relevant literature and previous studies on wave overtopping, coastal defence structures, numerical
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with lab and equipment managers, finance and procurement team, equipment vendors, and external academic partners. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413302
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materials must be submitted here to this Interfolio listing: https://apply.interfolio.com/187576 . Only materials submitted through the Interfolio link will be reviewed. Do not submit materials
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the attribution of (1) research grant within the scope of LASI - Intelligent Systems Associate Laboratory, reference LA/P/0104/2020, financed by national funds under the Multi‑Year Funding Program for R&D Units
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the attribution of one (1) research grant within the scope of LASI - Intelligent Systems Associate Laboratory, reference LA/P/0104/2020, financed by national funds under the Multi‑Year Funding Program for R&D Units