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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights
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. The research group has an excellent infrastructure, MiNaLab, covering chemical, structural, optical and electrical characterization methods, material growth, device fabrication and simulations. The student will
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Experience or competence in heterologous production of enzymes is an advantage Teaching experience is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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are able to: Work independently and take initiative Work in a structured way, set goals, and make plans to achieve them Present and discuss your research with other professionals Collaborate
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more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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communication skills in English (see https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 ) Desired qualifications: Although not being strict requirements, the following qualification
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for health economic evaluation will be considered an advantage. The candidate should be able to work independently and in a structured manner, while also being capable of effective collaboration with others