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: Establishing and maintaining reproducible and well-documented bioinformatic pipelines for the standardised analysis of internal and external single cell multi-omics datasets. Supporting researchers and
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& Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy Conversion and Storage; (5) Energy-saving Materials and
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elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research projects, thesis supervision, teaching, etc.); * A description of the main skills
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requested that, if possible, the recommendation letters include the following elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research
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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or
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the research fields as follows: (1) Sustainable Exploitation & Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy
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Handling & Analysis. About the Dynamic Single Molecule (DSM) Unit: The Dynamic Single Molecule (DSM) Unit operates within the National Facility for Structural Biology; together with other units serves as a
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you an excellent candidate for our faculty. We are now seeking outstanding candidates in all areas below: · Mathematics: Computational and applied mathematics; probability and stochastic analysis; data