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knowledge of MS Office, - at least one year's experience as a university teacher, - teaching experience in statistical analysis of medical and environmental data, - Co-authorship in scientific publications in
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by mass spectrometry techniques, identifying proteins and phenols; Performing LC/MS data analysis and interpretation, as well as statistical, chemometric and mass profiling analyses; Preparing
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should have a Master in Engineering, Physics or Chemistry and preferably a background in Statistical Thermodynamics and Molecular Simulation. Experience with programming in scientific languages such as
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Fuels. Number of positions: 2 Reference: PhD 2024-11/12 ALL Supervisor: Prof. Feliu Maseras Project: Statistical treatments for computational homogeneous catalysis. Number of positions: 1 Reference: PhD
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research. Requirements Doctoral qualification in a relevant discipline or equivalent research experience. Proven skills in statistical analysis, manuscript preparation, and research proposal writing with a
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courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en
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degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in
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Campus of the Auckland University of Technology. The successful applicant will have completed a PhD in ecology, with a preferred focus in the areas of forest restoration ecology and statistical modelling
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the ability to conduct and complete research projects, as witnessed by published work in machine learning on the specific topics, and strong mathematical skills in probability and statistics. Good knowledge
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understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to analyze and interpret large complex data sets, such as genome sequences, microarray