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on machine and deep learning methods for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research
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obtaining funding for scientific research English proficiency for the purpose of conducting classes (and/or consultations) in this language fluency in Polish language strong computer literacy and readiness
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for the purpose of conducting classes (and/or consultations) in this language fluency in Polish language strong computer literacy and readiness to learn new software tools readiness to teach classes on weekends
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structure and quantum chromodynamics, 2) Experience in the use of machine learning and high-performance numerical computations, 3) Readiness to teach courses in physics and computer science in English
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good command of English, both spoken and written; — experience in research on applied statistics and machine learning will be an additional advantage; — as teaching at the Faculty of Mathematics is
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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
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for scientific research English proficiency for the purpose of conducting classes (and/or consultations) in this language fluency in Polish language strong computer literacy and readiness to learn new software
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seminars, MA seminars and/or specialist classes. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be
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theoretical approaches to machine learning and artificial intelligence. Specific Requirements Having the status of a doctoral student; Strong mathematical skills and knowledge; Experience in math/coding
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of employment: full-time Date of announcement: 20th February 2026 Deadline: 22nd March 2026 Key words: security studies, aviation safety, armed forces development. Applicants are obliged to meet the conditions