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Field
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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Previous knowledge on electrochemistry and electrochemical engineering processes Basic knowledge of chemical analysis skills Excellent English skills Willingness to grow and work in a strong collaborative
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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topics: Analysis and implementation of advanced quantum networking protocols. Trade-offs in quantum resources required for distributed architectures. Topic 1 is primarily of experimental nature and Topic 2
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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engineering Experience with modelling and simulation of power systems and/or power electronic converters Familiarity with fault analysis and protection principles; knowledge of MVDC or HVDC systems is desirable
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) data analysis. Material developments will be supported by this new disruptive methodology. Strengths and appeal of the subject Innovative research topic with strong scientific and technological
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) analysis on gold surfaces. The student will develop a data analysis method (e.g. statistical methods) to identify the main parameters driving metabolite-surface interactions in the presence of different
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-component systems. The work will focus on the study and characterization of molten fluorides containing critical elements through physicochemical and thermochemical analysis, followed by spectral and