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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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ecosystem processes, as well as with handling of big data and/or processing of Earth observation data. Specifically, experience with Python, PyTorch and differentiable programming are considered assets. Terms
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or more of the following is highly desirable: Python or LabVIEW or similar EPICS or similar control frameworks Motion control systems Vacuum instrumentation Temperature control systems Semiconductor
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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or a related field; strong academic results and foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only
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the use of chemical databases, spectral libraries, molecular fingerprints, in-silico prediction tools and computational approaches for compound annotation. Programming skills, for example in Python, R
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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strong behavioral focus. Interest or experience in empirical research, such as experimental design, behavioral data, or quantitative analysis. Some programming or platform-building experience (e.g., Python
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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haptics (actuators, tactile displays, force feedback devices) Strong visual computing skills (Unity, C++/C#, Python, rendering, tracking or 3D reconstruction pipelines) A solid track record of HCI research