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of applied mathematical modelling, in particular numerical solution of partial differential equations Experience with one or more relevant programming languages/tools (Python, C, Matlab, OpenFOAM etc.) PLEASE
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Experience with one or more relevant programming languages/tools (Python, C, Matlab, OpenFOAM etc.) PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the
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students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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capabilities within the underwater domain, and to ensure that a unified modelling approach can operate across robot embodiments – air, ground, and marine. Achieving this requires new simulation tools, scalable
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programming expertise of tools or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are
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of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate should establish models, frameworks, and
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://metaexplore.eu/ At NTNU, the selected candidate will work on the project 'Novel expression tools and alternative hosts to improve hit rates from metagenomic libraries.' The PhD project will focus on: Developing
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: tina.saebi@nhh.no The Future of Human Resource Management (HRM) Rapid technological change is transforming how we work and organise. Remote work, digital collaboration tools, and artificial intelligence
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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends