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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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, gathering and coding morphological and geospatial data. You will be encouraged to collaborate in writing the publication arising from this work. Student profile: The applicant must be meticulous, enthusiastic
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Sciences, Environmental Sciences, Earth Sciences, Material Sciences, Biochemistry. Must have analytical chemistry skills and good numeracy; experience of mathematical coding would be desirable. Start date 1
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of the supervisory team will share code and provide support where needed. Feasibility: Objectives for this project are well defined and the student will have the flexibility to tackle the objectives that align most
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the collaborative interaction of the student and the supervisors who will actively participate in all stages of the project. Input data and training for the use of the code and global sensitivity analysis techniques
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In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 536 200,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension
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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/nl
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/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct
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, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years. Equal opportunity is an important part of our personnel policy