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field • Creativity, curiosity, and a proactive approach to problem-solving • Ambition to plan and conduct independent research that pushes the boundaries of science • Strong English communication
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writing Experience with data Good programming skills (Python / javascript / D3 / C++) Tableau Background in or experience creating data visualizations Experience with quantitative research methods (e.g. in
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• Supervision of BSc and MSc students This is part of your personality: • University degree in Biology, Molecular Genetics or related fields • Successful VBC PhD program Selection or similar international
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strong background in software development (Python, C++) and microscope control. • Experience FPGA programming is a beneficial. • Training and supervision will be provided throughout the project, but
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-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted via the VDSEE
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website https://vds-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted
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certificate of a completed PhD programme (required before the start of the contract) and contact details of 2 persons for reference, to be sent directly to olga.mula.hernandez@univie.ac.at referencing the job
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scientific debates and relevant theories and methods. Your personal sphere of influence: With the sowi:docs Fellowship Programme the ViDSS currently offers two positions for doctoral candidates in the social
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Didactic skills / experience in e-learning Skills in experimental work with babies Programming skills (Matlab) Advanced knowledge of statistics (R) Experience with multiverse analysis and open science
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and spoken English IT skills, especially in the area of word processing, PowerPoint, study administration programs and e-learning programs Organizational and teamwork skills First practical experience