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DATASETS AND/OR PEER REVIEWED PUBLICATIONS. - APTITUDE FOR DATA MANAGEMENT AND PROGRAMMING (R AND/OR PYTHON). License/Certification: Knowledge Of: Skill In: Ability To: Preferred Qualifications
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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monitoring data and new data collected within the project. Areas and time periods with different abundances of herring will be used to investigate the role of herring in the coastal ecosystem, as prey
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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information for ocean health, sustainable blue economy, and coastal climate risks, downstreaming the data flow from climate ensembles to coastal areas at different spatial resolutions and for selected areas, in
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science to make a difference in patients' life. Humanitas Research is guided by unmet clinical needs and it leverages high-end technologies to dissect the molecular and cellular mechanisms underlying human
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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Sensing (DAS) data from different locations in the Sea of Marmara region. The main purposes are (i) to compare detection thresholds between different types of instrumentation, (ii) to monitor seismic
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-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics