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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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. Python, PyTorch, TensorFlow). Enthusiasm for hands-on experimental work (e.g., mechatronics). Familiarity with polymers or other soft materials. Drive to tackle interdisciplinary challenges and communicate
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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch
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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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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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analysis and multivariate statistics (preferably using Python), to enhance building energy performance (and/or reduce building greenhouse gas) Experience in the full spectrum of research activities including
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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, power electronics, and system protection. Strong programming skills (e.g., Python, C/C++, Julia) Researcher III (all above qualifications for Researcher II, plus): Demonstrated leadership in one or more
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supply or measurement and monitoring systems desirable Python, Matlab or similar programming skills are an advantage Very good knowledge of German and English desired Ability to work in a team with