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fellow requires that you Show curiosity, creativity and a strong motivation for the subject, Work independently and in a structured way, with clearly defined goals and strategies to achieve them, Present
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that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or process industry, and academia. The career promoting work will
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, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers. About us
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interpretation is a requirement, preferably using Petrel software Experience in low temperature thermochronometry is an advantage Experience with restoration techniques, dynamic crustal modelling or landscape
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analysis. Experience with software development. Experience with Nextflow or Snakemake Language requirement Excellent communication skills in English, both written and oral English requirements for applicants
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for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage Personal and relational qualities will be emphasized. Research experience
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will be considered an advantage. A demonstrated interest in and talent for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage
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-informedness. The postdoctoral researcher will build skills and knowledge in all these sectors as part of a strong team, a strong network, and with help of summer schools or other academic training programs
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. The PhD fellow will be part of the research group Indigenous Religion(s): Local Grounds, Global Networks (INREL). The fellow will contribute to a broader research initiative on religion, art, activism, and
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significant contributions to the experimental work, taking on responsibilities for data analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo