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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral scholarship
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as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Exceptional
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learning techniques (RF, XGBoost, NN, SISSO) to screen all the possible compositions of the half-Heusler family in order to find high ZT materials. - Propose new ML methods. - Perform DFT calculations
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viscoelastic capillary phantoms with controlled sizes and configurations using hydrogel-based materials and cleanroom microfabrication technologies. You will perform acoustic scattering and attenuation
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of strongly-correlated materials, quantum magnets, and might hold the key of high-temperature superconductivity. Investigating its low-temperature many-body phases is extremely challenging using classical
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The successful candidate will publish in high-impact journals and contribute to proposals and
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, Computer Science, or a closely related field. Experience in at least one of the following areas: FPGA programming (VHDL/Verilog, HLS) Pixel detectors in high-energy physics or radiation detection
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-performing researcher seeking to embed themselves in a high-performance sporting environment. This role offers a rare opportunity to contribute to a long-term strategic research partnership between academia
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 5 days ago
plant matrices Methods and procedures for the extraction of bioactive compounds from plant matrices General analytical methods used in the analysis of plant-based products The use of high-performance
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or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal