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Field
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Bioinformatics, Computational Biology, Biomedicine, Mathematics, Physics, Engineering or related fields Proven experience in large-scale data analysis (big data) applied to medicine or biomedicine Experience in
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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the PhD Students to: - Perform the analytical determinations for the different models, including sample preparation, and analysis of various lipid compounds, mineral elements and stable isotopes
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polarization via exciton population engineering, including nonlinear optical responses relevant for neuromorphic activation functions. Analysis and interpretation of experimental data in close interaction with
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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, VASCOVID and REHAB COVID projects. It will be carried out in collaboration with Parc Tauli Hospital (PI: Jaume Mesquida). The fellow will be in charge of data acquisition, analysis and interpretation as well
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. Climate data analysis: including observations and reanalysis products. Professional Experience: Participation in scientific activities (conferences, courses, seminars, etc.) as well as the presentation
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: The project aims to Systematic screening of the interactions between biochemically defined host-tissue components and pathogenic bacteria Analysis of bacterial phenotype in the presence of defined biochemical
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analysis of the trial databases, ensuring the quality of the record under the supervision of the responsible PI. Participation in the drafting and dissemination of results, as well as in the preparation
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their footprint on science. Candidates should hold a PhD in Engineering, Mathematics, Physics or Geology and have a good knowledge on mechanics, hydrogeology, or seismology. We will value experience in