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Field
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written English skills (B2 level or equivalent, certified), ability to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking
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collaboratively with others and contribute to a team environment. - Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. - Communication: Strong and clear written
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 29 days ago
references to: [email protected] Please describe your relevant technical background, including specific techniques, instruments, assays, software, radiation sources/measurements, and your role in developing
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, casting, machining, or characterization of synthetic rocks, geomaterials, or ore analogs. Mechanical design using SolidWorks, AutoCAD, or similar software. Downhole tools, wireline logging systems, drilling
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skills, particularly proficiency in statistical data analysis software. Excellent written and spoken English. Strong communication and presentation skills, high professional standards, excellent
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 29 days ago
demonstrated ability to conduct rigorous, original research relevant to medical demography, population health, epidemiology and related fields. Proficiency in at least one statistical software package, such as R
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, and collaborate closely with quantitative ecologists and software engineers to integrate economic indices into the AIS Explorer decision-support tool. Key Responsibilities & Duties 1. Ecosystem Service
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make