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methodologies will also be highly valued. We seek candidates with at least 3 years after their PhD, with a track record of research publications in high quality international academic journals and press, and with
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organoids Experience with cerebral organoid models (is preferred but not mandatory) Molecular and biological assays to characterize stem cells and extracellular vesicles ES4TERM group has long track record in
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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/or the project Requirements: The candidates must have a PhD in chemistry We are looking for a candidate with a solid and proven track record in Organometallic chemistry, particularly in Ni-catalyzed
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: Define and track metrics (MAE on Hamiltonian elements, band-structure error, DOS overlap, transport-relevant figures); compare against classical parameterisations. Uncertainty and active learning
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have a strong track record of exploring quantum effects such as entanglement and squeezing in atomic vapors. The successful candidate will be expected to contribute to experimental progress in at least
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-scale geospatial and/or climate datasets (e.g., NetCDF, GRIB, Zarr). Knowledge of Earth system models and climate science. A strong track record of publications in relevant scientific venues. Competences
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plan and gender perspective approach. A motivation letter (maximum 1 page). CV, including personal information, educational background (undergraduate, doctorate and other degrees), and research track
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will comprise five innovative tools: The SHARECITY200 Database, an interactive automated mapping, tracking and monitoring database of food sharing initiatives that will add more than 100 new locations
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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