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Field
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/benefits-overview . Posting Summary The postdoc will carry out cutting-edge neuroscience research in a vibrant research environment, performing experiments and data analysis, authoring publications and grant
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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responsible for creating and refining computational models that simulate hydrogen, ammonia, and methanol combustion in internal combustion engines and gas burners. Data Analysis and Interpretation: You will
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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data analysis is a plus but not required. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 days ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development