18 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Adam-Mickiewicz-University" positions at ICN2
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‑Lab Notebooks with structured templates, enabling FAIR‑by‑design data generation. This includes the creation of institutional AI‑ready catalogues and benchmarks, interoperability with PIDs and metadata
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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of stability protocols for memristor characterizaiton. · Process and analysis of data. · Elaboration of periodic reports to keep track of the project progress. · Preparation of scientific manuscripts and
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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-corruption guide, supporting the curation of the ICN2 Ethics Code, coordinating and managing the signing of documentation, collaborating in obtaining data and preparing reports and providing the Generalitat de
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of materials and devices following the recently upgraded ISOS protocols and in-situ characterization. Process and analysis of data. Elaboration of periodic reports to keep track of the progress of the project
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publication repository in iMarina, including advanced curation of data. Uploading the information in the DDD (UAB open access repository) Enhancement of documents with specific metadata, defined by
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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. Generate structural and electronic descriptors to support the development and training of machine learning models for materials discovery. Contribute to the definition of FAIR data standards for the results
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relevant scientific discipline. · Previous experience and familiarity with nanomaterials and nanotechnology research. · Good understanding of scientific data plotting and statistical data analysis IT tools