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Field
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant
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performs sample preparation and analysis of food materials utilizing advanced analytical techniques, such as GC/MS and LC/MS platforms; generates, evaluates and conducts data interpretation. 20% of job
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PhD or Doctorate in PhD or Doctorate in public health, psychology, social science. Minimum of 1 year of experience. Experience conducting quantitative, qualitative, and mixed-methods data analysis
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processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories. Erbium in silicon is currently subject to
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projects Manage research projects and prepare project deliverables Provide guidance to Master students and PhD students that submit work to Information Systems outlets The candidate should demonstrate
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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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Excellence Centre for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA). SweCSS researchers
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses