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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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working with complex systems and troubleshooting. Proficiency in specialized instrumentation and data analysis, including the use of relevant software, is highly desirable. Strong analytical skills and the
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, or material science (e.g., publications, conference presentations, internships, awards, scholarships) - Experience in inorganic chemistry and basic analytical techniques, such as XRD, IR, and Raman spectroscopy
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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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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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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
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of biochemistry and/or molecular biology - Motivation and willingness to pursue scientific work - Atitude for experimental research - Ability to learn quickly and absorb knowledge - Teamwork skills - Good command
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research centre in Poland.Research conducted at the Institute focuses on issues directly related to health protection and improving the quality of life. The Institute's main mission is to learn