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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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CISPA Helmholtz Center for Information Security | Stuttgart, Baden W rttemberg | Germany | 2 months ago
, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript code bases, such as Scipy, the Java standard library, the Chrome browser, and various popular web
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(at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs
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data analysis using any of R, Stata, or Python. Doing a PhD in our team will involve travel and research stays in study sites abroad (likely India and Rwanda). An ideal candidate should be excited about
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to have experience in one or more of the following areas: Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion
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of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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COMSOL, Ansys Fluent, or OpenFOAM Excellent knowledge of thermodynamics, fluid mechanics, and heat & mass transfer Strong programming skills in Python, C++, or similar languages Familiarity with machine