44 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"https:" positions at UNIVERSITY OF VIENNA
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doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues. The programme is organized
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breakthroughs in basic research to advances in human health. The position is embedded in a team that manages the Vienna BioCenter PhD Program, a doctoral school of the University of Vienna and the Medical
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the organisation and execution of program events, workshops, and meetings. Monitor the effectiveness of communication measures and monitor media trends and public discourse in relevant scientific areas, using
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assistant) Excellent knowledge of quantitative methods (including competencies in the application of SPSS or R) Excellent communication skills and proficiency in English Experience in programming experiments
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research project dedicated to experimental quantum foundations and indefinite causal order. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months
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PhD programme selection Experience in mammalian cell culture and fluorescence microscopy is required Experience with molecular cloning and genome editing methods is desired Experience with recombinant
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experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! How to apply: Application documents should include: letter of motivation including time plan for doctoral
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vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience (if available) ideas for a prospective
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skills in handling large-scale raw data and long-term data preservation Experience with database structures and data repositories for omics data Strong programming skills (at least in Python), familiarity
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handling systems, tailored console updates. Develop and optimize pulse programs and parameter sets for chemical, biochemical, and materials applications; support the implementation of full automation