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- Adam Mickiewicz University, Poznań
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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, shall be included in the person’s employment period in order for that person to acquire employee rights (e.g. the specific amount of holiday, severance pay, seniority bonus etc.). It includes not only
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an atmosphere of respect and cooperation supporting employees with disabilities flexible working hours funding for language learning co-financing of training and courses additional days off for education life
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, Seahorse), as well as the use of immunofluorescence techniques and microscopic imaging; Motivation to acquire new knowledge; Ability to organize one's own work to ensure the reliable performance of assigned
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institution operating in an EU, OECD or EFTA Member State, was issued in another country and recognized on the basis of the regulations on the recognition of academic degrees obtained abroad (learn more about
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) Experience with NGS, flow cytometry, or digital pathology. Good command of English. Strong motivation, passion for learning, and commitment to ongoing projects. Proactivity, independence, and willingness
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Research Institute (WIB) from the Polish Science Fund. The primary objective of this Research Team is to develop highly effective therapeutic mRNAs. To learn from the existing mRNA vaccines (Krawczyk et al
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Benefits an atmosphere of respect and cooperation supporting employees with disabilities flexible working hours funding for language learning co-financing of training and courses additional days off
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; • characterization of quantum correlations, entanglement, nonlocality; • machine learning for optimization problems. Website for additional job details https://mfi.ug.edu.pl/strona/112497/konkurs-na-stanowisko-post
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or experimental research involving passive, active, specialty, or telecommunication optical fibers, or in modeling linear and nonlinear phenomena—including the use of deep learning methods—in the field of optical