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Field
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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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non-target screening. Evaluation of obtained data and their statistical analysis. Elaboration of reports and communication with project/contract founders. Participation in preparation of proposals
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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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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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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multidisciplinary teams (bioprocess engineering, omics analysis, modelling). Supervise and support PhD students and laboratory technicians. Where to apply Website https://eurecat.talentclue.com/en/node/123629429
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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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, geography, sociology, political science, Science and Technology Studies (STS), applied economics, environmental social sciences, or related fields. Strong competence in quantitative data analysis using R
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was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can be found at https://weghornlab.org/ and at www.crg.eu/en/programmes-groups