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Field
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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performance are expected. Required qualifications: Proficiency in programming (primarily Python or MATLAB) Strong communication and collaboration skills, including the ability to work across research groups and
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability