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Field
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microservices for industrial manufacturing applications What you contribute You are studying Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g
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service for small ruminants, and through the involvement of the mobile clinic. It also covers coordination and delivery of courses in the PhD and master programs offered by the university. Clinical services
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bachelor's, master's, and PhD programs, particularly in the Master in Management and Technology. Qualifications We are looking for candidates who have demonstrated initial scientific achievements and the
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chemistry is highly desirable excellent problem-solving skills and analytical thinking proficiency in programming (e.g., Python) is an advantage good communication skills and the ability to work in a
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, and/or AI techniques. The orchestration of the full solution can be managed, e.g., by an agentic component. What you contribute Programming skills, preferably Python, and good software engineering
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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working locations and hours, mobile working, subsidies for local transport tickets, support services to help balance family and career, etc.) Company pension plan, capital-forming benefits, deferred
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or more of the following backgrounds: i) Environmental Data Science that combines environmental science knowledge with programming, statistics, and data analysis skills; ii) Earth System Data Science or
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, rheometer, DMA). You have basic Python programming skills are an advantage. It is important to you to contribute to the team and to achieve goals together through collaboration. You are a team player, enjoy
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines