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field; desirable with a focus on operations research • Sound knowledge of linear optimization; experience in working with corresponding software in Python (e.g. Gurobi) an advantage • Strong interest in
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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development workflows Excellent knowledge of modern programming languages, especially Python The following qualifications are also expected: Proven skills in software development and the ability to develop
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Kenntnisse und Erfahrung in mindestens einer Programmiersprache, einschließlich sehr guter Kenntnisse in Python und vorzugsweise Java Ausgezeichnete Kommunikationsfähigkeiten Gute Kenntnisse von
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robustness Write efficient, complex SQL queries and leverage advanced database technologies such as TimescaleDB to support real-time data processing Develop and maintain Python and Django-based tools and
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. The algorithm is then tested for effectiveness and efficiency against an existing data set. What you will do You will design and realise the concept in Python You carry out a literature research, design
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/or genomics is required Strong analytical skills as well as broad experience with scripting languages (e.g. Python, R, Bash); knowledge of common bioinformatics software and access to databases
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sense of responsibility Goal-oriented and independent way of working Also desirable are: Programming skills (preferably Python or Ruby) Knowledge in the administration of SAN infrastructures using Fiber
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications