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mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make
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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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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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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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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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the laboratory Experience in the most commonly employed techniques in the laboratory (see "Your future tasks" section) Programming skills in python and R with experience in statistical data analysis
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degree programs in Biology with a focus on Evolutionary Anthropology/Human Biology, Teacher education Biology, as well as in the Master's degree programs in Biology with a focus on Evolutionary
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and students in the laboratory Experience in the most commonly employed techniques in the laboratory (see "Your future tasks" section) Programming skills in python and R with experience in statistical
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at the end of the funding period. Requirements: You are enrolled in the doctoral programme of DSPL43 and you are a doctoral student member of the VDP. You have successfully passed your public presentation
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The University of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on the field of chemistry and