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Field
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- Participatory Methods for Impact chain assessment and backcasting Reference code: 50139757_2 Commencement date: August 1st, 2025 Work location: Hamburg Application deadline: 04.06.2025 The Climate Service Center
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
- Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress) Reference code: 50139753_2 Commencement date: 1st August 2025 or thereafter upon agreement Work location: Hamburg
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-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire new funding. Meet with prospective clients
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government pay scale position code 1017 PhD Fellow. PhD Fellows will normally have a starting salary of NOK 550 800. The position follows ordinary meriting regulations. Employment is conducted according
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license Remuneration and further information The position is placed in government pay scale position code 1017 PhD Fellow. PhD Fellows will normally have a starting salary of NOK 550 800. The position
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. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/sollicitatiecode
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/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/sollicitatiecode/ and European Commission's European
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, code 1017, your gross salary will normally be NOK 550 800,-per annum. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The period of employment is 3 years, with
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI