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procedure for the position of an ASSISTANT PROFESSOR (a postdoc-type position) Group of employees Research staff JU organisational unit (place of work performance) Malopolska Centre of Biotechnology Field
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this statement of consent to the processing of personal data, which constitutes an attachment to this information. The controller of your personal data processed in order to carry out the recruitment process for
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, Uniwersytetu Poznańskiego 6 st, 61-614 Poznań, Poland 6. Monthly salary: gross/gross salary of approx. PLN 17,500/month 7. Application deadline and process: Applications or additional questions should be
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; Monthly salary ~10 000 PLN gross; Starting date: November 2025. Application procedure and deadline: Applications should be sent to: postdoc@nencki.edu.pl , with a note „Postdoc JK”. Deadline: October 14th
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of 1,2,3-triazole derivatives, driven by femto- and nanosecond laser pulses. Special emphasis will be placed on the influence of chiral light in these processes. Our primary experimental objective is to
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Application deadline and process: Electronic submission to jagoda.litowczenko@amu.edu.pl Application deadline: 17.06.2025r. Required documents Application form/letter of the candidate (email); Curriculum Vitae
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supply all the requested documents in a single zipped file. Selection process Selection committee decides. Additional comments please download file from https://praca.bip.uj.edu.pl/stanowiska-badawcze
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. Familiarity with computer programs necessary for academic research. Specific Requirements Excellent command of English and at least good command of one of the following languages: Italian, German, or French, as
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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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journals and conference proceedings; experience in conducting research on image processing using deep neural networks; knowledge of methods of statistical data analysis; ability to work with large data sets