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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 26 days ago
performing long timescale ensemble simulations. Your Tasks Develop and improve the fESM CLIMBER-X in the context of long transient paleoclimate simulations Calibrate fESM parameters using transient proxy data
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models, molecular modeling and simulations, and/or polymer science are preferred but not required. Strong past experience in scientific machine learning. Terms of Appointment: This is a full-time, one-year
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, baseband processing, and system simulations. Documented ability to cooperate with other researchers. Assessment criteria This is a career development position primarily focused on research. The position is
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, modelling and machine learning to improve defect detection, classification and power loss simulations. Benchmarking field-acquired images with laboratory measurements. Publishing results in leading journals
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inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a
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in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods
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processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling
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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
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applying ecosystem process-based models Strong programming skills in Python, proficiency with scientific computing and machine-learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn) Experience working
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering