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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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or Python) to the level that you can set up, carry out, and automate Comsol models of magnetotransport independently. Ability to work independently, to plan and carry out complicated tasks, and to be a part
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in bioinformatics, bioengineering, systems biology, or a related field. Minimum 5 years of postdoctoral or equivalent research experience. Advanced skills coding in Python for scripting and data
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handling non-model microorganisms such as Vibrio sp., Psuedomonas sp., Cupravidus sp. Python experience, especially as applied to programming laboratory robots You need have a MSc in a relevant field (e.g
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electricity markets, in particular intraday, ancillary, and spot markets Proficiency in Python, MATLAB, Julia, and GAMS for data analysis and optimization Experience with price forecasting, demand modelling
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar
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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety