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: - Enrolment at a German university. - Major in physics, mathematics, computer science or related subject - Programming experience in Python - Experience with PyTorch or similar libraries for neural networks
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(e.g., handling bacterial or fungal cultures) - Basic knowledge of antimicrobial or inhibition assays - Good data handling and data processing skills (e.g., in Excel and GraphPad Prism, Python etc
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in computer science very good knowledge of Python and the ability to familiarise yourself with and contribute to existing development activities prior knowledge of data mining, natural
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science, e. g. biomedical engineering Research experience in experimental physics, ideally in fields compatible with the activities of the group Proficiency in programming (e. g., Python, Matlab, LabView
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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., Python, Java, C++) and interface programming (REST API and RESTful Services) Initial experience with LLM and ML technologies Ability to work in a team, communication skills, ability to work independently
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: - Familiarity with working with quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e. g. R, stata, Python) - Interest in economic sociology and
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student with good grades in one of the following programs: Electric engineering, computer science, cognitive science, applied mathematics, physics, neuroscience or a related field A good command of Python
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and Python, bash scripting and deep learning frameworks Ability to acquire and process data from sequencing facilities or public resources, work with HPCs, run, adapt existing pipelines (in-house or nf
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the Q methodology dataset build an agent-based modelling (ABM) in python or Netlogo visualize and interpret results; prepare a short report or presentation at the end Your qualifications: background in