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Field
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in
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research; (c) A strong foundation in technical, analytical, and research skills, enhancing your career prospects in academia, R&D, and the growing clean energy sector; (d) Opportunities to present your work
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are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R • Competences in quantitative research methods - ideally knowledge of several
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desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
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26th of September 2025. The competition proceeding is conducted in accordance with the rules set forth in the OTM-R Policy. Cracow University of Technology reserves the right to contact candidates whose
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. The competition proceeding is conducted in accordance with the rules set forth in the OTM-R Policy. Cracow University of Technology reserves the right to contact candidates whose applications have met the necessary
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knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license. Experience in GIS and handling large
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trustworthy ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and
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) Exchange with internal and external as well as national and international project partners Preparing scientific publications and project reports [1] Kaliakin, D., Shajan, A., Moreno, J. R., Li, Z., Mitra, A
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 12 days ago
programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong scientific curiosity and motivation