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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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bio materials and porous materials PhD student candidate 2 with background in computer science, AI, machine learning or related fields with the experience in CFD, ANSYS, COMSOL The successful candidates
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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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framed within the NCN OPUS project, "Food Waste Biorefinery for Sustainable Production of Next-Generation Algal-Based Bioproducts," will be implemented. The project focuses on optimizing food waste
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of the GDPR in connection with the Polish Labour Code; b. conduct recruitment process for the position specified in the advertisement based on your consent pursuant to Art. 6 (1) lit a of the GDPR – your
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modulator of the hypusination process, a unique modification of the eIF5A factor essential for protein translation. Structure-based studies of protein-molecule complexes and their chemical optimization
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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conditions. The PhD Student-Scholarship Holder (f/m) will also be required to prepare interim reports and scientific publications based on the results of the conducted research. The PhD Student-Scholarship
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in aligning, calibrating, and troubleshooting complex optical systems, particularly those involving advanced microscopy or laser-based instrumentation. Familiarity with fluorescence microscopy
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3