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quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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-QAP) statistical modeling. Responsibilities Clean, structure, and manage relational network datasets Implement and validate MR-QAP analyses using Python Conduct additional SNA metrics (e.g., centrality
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research skills and experience in economics and agent-based modelling, and an interest in empirical/computational/algorithmic game theory You are proficient in relevant programming languages such as Python
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/l/en/o/post-doctorat-en-apprentissag… Requirements Research FieldComputer science » InformaticsEducation LevelPhD or equivalent Skills/Qualifications ✔️ You have skills in Python, neural networks and
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mentoring junior researchers and contributing to a positive and inclusive lab culture is highly valued. Experience with R or Python is an advantage, but candidates with a strong willingness to develop
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literature relevant to sea-level projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high
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in collaborative research projects. Publish manuscripts in peer-reviewed journals. Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python
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Learning, or a related field Strong background in cybersecurity and/or applied machine learning Interest in applied cybersecurity research with real-world impact Proficiency in Python and relevant ML
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus