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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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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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physiological processes of plant growth, development, reproduction and interaction with other organisms. In a plant’s life, interactions occur at multiple levels: among others, between its plastids and the
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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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state-of-the-art laboratories High-quality project supervision Multiple training opportunities for career advancement. The University of Göttingen is an equal opportunities employer and places particular
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: How are multiple different RNP granules with individualized mRNA cargo maintained in MN axons? How much exchange of RNA-binding proteins occurs between different RNP granules within axons? How do RNP
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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