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Field
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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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). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental
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as an Ecological and Biogeochemical Regulator on Earth'. The position is under the supervision of Dr. James Bradley (https://www.jbradleylab.com/ ). The recruited person will work with the principal
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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sciences (preferably in computing, robotics, AI) a clear interest in the topic of the position excellent English communication skill computer science skill programming in C++ and python strong and
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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(https://www.hereon.de/index.php.en ) and Institute of Surface Science (https://www.hereon.de/institutes/surface_science/index.php.en ). Collaborators: Uppsala Universitet, Sweden and Quintus