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Field
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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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combination of training and experience. Relevant experience in program development, implementation, and oversight in a university research setting. Position Details: This position is located on the Troth Yeddha
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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to complex with increasing independence Record data and analyze results using basic statistics Perform tasks related to zebrafish husbandry, DNA/RNA microinjection, tissue harvest, and microscopy Use standard
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for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Conduct field research in
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dynamics and statistical physics. The BBGK equation is the governing equation for hypersonic, rarefied flow problems in aerospace and microfluidics, where the continuum and equilibrium assumptions of Navier
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior