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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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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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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
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Computation), Formal methods, and willingness to enhance knowledge in several of the listed areas. Proficiency in programming skills (C/C++, Python, Rust, Solidity, Vyper, etc.) is preferable. Strong
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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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deep learning, preferably including some exposure to graph neural networks or geometric deep learning. Proven experience with implementing machine learning methods in Python and Pytorch. Familiarity with
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mathematics or related field Strong programming skills in python, C, C++ or other similar programming languages Strong communication skills in English, both oral and written The ability to work both
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., Carnot batteries, heat pumps) and/or energy storage technologies. Proficiency with scientific tools such as EES, Modelica, TESPy, or similar libraries. Strong programming skills in Python or MATLAB