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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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programming skills in Matlab and Python High ability to express yourself both orally and in writing Excellent command of written and spoken English IT user skills Ability to work in a team Desirable
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students Teaching experience Very good German and English language skills. Very good mathematical understanding Very good programming skills Strong ability to work in teams Perseverance and ability to make
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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
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of analytical philosophy Experience abroad Initial experience in scientific work Willingness to acquire German language skills within 3 years that are sufficient for teaching in Bachelor's and Master's programs
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in the implementation of e-learning formats Sound knowledge of statistics and the use of statistical programs (e.g. in Matlab, R or SPSS) German and English skills Proven ability to collaborate
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degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics • Main-author publications in renowned subject-relevant
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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integrated into the structured PhD program of the “Vienna Doctoral School in Cognition, Behavior and Neuroscience from Biology to Psychology and the Humanities” (VDS CoBeNe; https://vds-cobene.univie.ac.at