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Field
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School of Life Sciences or School of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: An excellent or very-good university degree
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in technical computing and programming very good oral and written proficiency in English Additional requirements: documented experiences with process systems, process automation and computation
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REQUEST Professional education, qualifications and experience Ph.D. – Doctoral Degree Programme completed in history or art history within 7 years prior to the onboarding – a condition professional focus on
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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on research programs to optimise data interpretation and usage. Applicants will have a Ph.D. in astronomy or a related field and have a strong computing and programming background. Candidates are expected to be
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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radar aeroecology methods Experience of programming Assessment criteria and other qualifications It is desirable to have: Experience working with radar data Experience working in movement ecology
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
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skills in agile project management and the application of workshop methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C