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downconversion layer Analysis of data using software tools such as MATLAB, Python, or Origin. The candidate must be familiar with materials studio software and any other materials modeling software. Experience in
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. Nuclear Instrumentation and Advanced Detection Techniques: o Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). o Knowledge of multi-element
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embedded software for CubeSats. They will teach embedded systems and spacecraft engineering and lead experimental research on robust satellite architectures and mission reliability. Key qualifications: PhD
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of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer
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, or biomedical engineering, or a related field. Strong background in materials characterization and manufacturing processes. Experience with CAD/CAM software and 3D printing technologies. Excellent
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-time PCR, and Flow cytometry. Advanced Knowledge in skin biology and technical skills in cosmetic formulation. Proficiency in the use of software and databases and statistical analysis. Publish in well
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. Familiarity with the industrial valorization of marine resources, including their potential applications in agriculture. Proficiency in experimental design, data analysis, and statistical software. Excellent