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Field
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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is a
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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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field and 5 years of post-doctoral experience in sensory and language processing, statistical analyses, MATLAB, and fMRI analyses using SPM (including the ability to implement multivariate methods). Since
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, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis, thermography, and field measurements. Teamwork and collaborative problem-solving abilities. Strong
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project, also conducting similar work in other related projects as required. The candidate should be proficient in MATLAB, Excel, and Python to be able to use and adapt the existing suite of tools
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like R, Matlab or Python. Ability to carry out statistical analyses of data. Job Duties Job Duty Analyze ECOSTRESS radiance data and test calibration correction and noise reduction methods. Essential
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the following: Magnetic resonance imaging Python, MATLAB, C/C++ Excellent writing skills, as evidenced by first author publications Exposure to clinical MRI in general, with knowledge of brain tumor MRI
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expertise in one or more of the following: Magnetic resonance, electron paramagnetic resonance Hardware/software interfacing Python, MATLAB, LabView, C/C++ Mammalian cell culture and purification
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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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