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Field
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the framework. We are seeking candidates with a PhD or equivalent professional qualification in geotechnical engineering with strong numerical, computational and coding skills and preferably interests & knowledge
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the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
contribute to high-impact research outputs. Join an international and interdisciplinary research network, working closely with Dr Esmé Shirlow (ANU) and Dr Florian Grisel (CNRS) and engaging with leading
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cryopreservation where appropriate. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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, presentations, research collaborations and a developing network of academic, industry and professional stakeholders. Proven ability to communicate research effectively to academic, industry and broader audiences
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of particular relevance to the Norwegian and Nordic kindergarten sector. KINDknow is also engaged in children's lives in a wider cultural and working life, and builds ties and networks regionally, nationally and
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high-power laser plasma interaction and related areas. Demonstrate significant experience in experimental research using high-power lasers, Experience in using computer codes for data analysis
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directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure