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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
demonstrated proficiency with computer coding, such as Python, MATLAB, R, and expertise in statistical modelling. · Experience in designing, planning, and conducting experimental procedures, including
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: Knowledge with electrical engineering (PCB design, circuit design, soldering) Familiarity with CAD (Autodesk/SolidWorks) Experience with Python, C++, MATLAB, and MySQL Physical Requirements Remaining in a
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) Desirable Skills in bioinformatics (e.g. knowledge of Matlab, R, Python) Experience of imaging mass cytometry (IMC) and associated analysis Single cell RNA-seq Experience of working with complex 3D culture
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and diverse teams. They will need to have advanced-level knowledge of power grid security and machine learning concepts with proficient coding skills (e.g. MATLAB, Python, or similar) and power grid
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(essential) extensive experience in programming in Python or Matlab and data analysis (essential) experience with behavioural and neuroimaging (fMRI, M/EEG) data design/collection/analysis (essential) track
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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-infrared spectral range, - Free-space and guided optics experiments, - Programming and modelling (Matlab and Python), - Infrared spectroscopy. Know-how and interpersonal skills: - Initiative, responsiveness
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement