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solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical thinking as well as a systematic
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knowledge of thermodynamics, fluid mechanics, and heat & mass transfer Strong programming skills in Python, C++, or similar languages Familiarity with machine learning methods for optimization is an advantage
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of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems
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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
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Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly motivated both independently and in a team • Very good written and spoken English skills • Some knowledge or
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assemblies, including the evaluation of measurement data Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while
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Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant metabolites with LC-MS - High level of self-sufficiency - Reliable and conscientious
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- Practical experience in working with RNA (RNA extraction, RT-PCR, RNA sequencing) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant