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analysis, especially peptide/protein identification or signal deconvolution, is desirable. Role Eligibility Requirements: Applicants must not have resided or carried out their main activity (work, studies
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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approaches for multi-frequency and multi-constellation observations. This may include signal selection and quality control, low-elevation satellite arc processing, spectral analysis, reflector-height
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for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly affected by environmental
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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of transportation (e.g., ALDOT and MDOT), and university transportation centers. Develops and conducts research studies, leads and contributes to proposal writing, performing advanced data analysis, manages tasks
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strong interest in paleoclimate, marine geology and/or paleoceanography. Experience with one or more of the following would be an advantage: marine sedimentology and sediment-core analysis, geochronology
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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of novel diabetes therapies Precision medicine for Type 1 and Type 2 diabetes Human pancreas imaging and spatial biology Digital pathology and computational tissue analysis Clinical decision support using