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University of Applied Sciences in Krosno ul. Rynek 1, 38-400 Krosno, Poland By submitting the application, a candidate agrees to the processing of her/his personal data in the recruitment process. State
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, and will also deepen the understanding of nonlinear optical effects in ferroelectric nematogens. Job Description and Responsibilities: Synthesis of organic materials, process optimization, purification
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organizational skills. • Independence in action combined with readiness to work in a team. • Ability to convey knowledge and build relationships with students in the teaching process. • Ability to present
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skills. The University reserves the right to cancel the competition procedure at any stage without providing reasons. Foreign language documents submitted to the competition must be translated into Polish
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the competition. The competition is the first stage of the procedure of employing academic staff, and its positive outcome is the basis for further proceedings. The candidate should fulfill the following criteria
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: total employment cost (including full social security and health insurance): 180 000 PLN/year - position starts in: January 2026 Selection process Required documents: Personal questionnaire
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processing (with particular emphasis on brain data), Aptitude for scientific and teaching work, including experience in educating students and supporting young researchers, Proficiency in Polish, Proficiency
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the criteria indicated in the competition. The competition is the first stage of the procedure of employing academic staff, and its positive outcome is the basis for further proceedings. The candidate should
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the criteria indicated in the competition. The competition is the first stage of the procedure of employing academic staff, and its positive outcome is the basis for further proceedings. The candidate should
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/Qualifications 1. Development and management of advanced optical systems (with pulsed-lasers, nonlinear optics, polarisation optics and microscopy operation). 2. Bioimaging experiments – development of optimal