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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
, turbulence, atmospheric flows, meteorology. Knowledge of programming languages such as Python, MATLAB or C++. Ability and desire to work in a diverse and international team. Good command of English. German
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Experience with Python programming Experience in programming quantum algorithms with Qiskit, Pennylane, or similar Prior knowledge of Linux OS and Git is advantageous Particularly suitable for M.Sc. QST, M.Sc
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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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public service. • Knowledge in and practical experiences with programming (e.g., Python, Java, Julia, etc.) • A strong interest in scientific research with the goal of obtaining a doctoral degree • High
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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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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