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Field
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utilizing tools based on knowledge retrieval and interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images
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(field, expectations, comments): Candidates requiremets: - an academic title of at least a master’s degree in mechanical engineering, - knowledge of structural solutions, principles of operation and
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as a manager. 9. Completion of at least two academic or professional internships, including at least one lasting no less than four weeks after completing a master's degree. 10. Knowledge of basic
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(field, expectations, comments): Requirements for candidates: - an academic title of at least a master’s degree in mechanical engineering, materials engineering or chemical technology, - knowledge
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school knowledge of English at a communicative level (spoken and written) ability to create technical drawings, including 3D drawings knowledge of CAD/CAM and SolidWorks programs professional experience
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/Qualifications at least a medical, master's or equivalent professional degree in a relevant discipline; the ability to impart knowledge and encourage the development of knowledge, as demonstrated by very good
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of Science degree in the discipline of biomedical engineering, Possessing predispositions to conduct scientific and teaching activities, Knowledge of the following topics confirmed by publications
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scientific institution lasting at least 4 weeks related to the photocatalysis; experience in working with low-temperature non-equilibrium plasma; fluent knowledge of Polish in speech and writing necessary
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refrigeration, - the ability to use information technology for scientific research and presentation of results, - good knowledge of Polish and English at a level that allows free communication, conducting classes
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no 4 to the Statute of the UWM in Olsztyn, tab. 7a (Resolution No 494 of the Senate of the UWM of 21 May 2019 as amended). Software literacy: knowledge of the most important graphic design tools, such as