11 coding-"https:"-"https:"-"https:"-"https:"-"Max-Born-Institute" positions in Denmark
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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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or using pretrained-model APIs is not sufficient. Applicants must provide evidence of research potential through a substantial thesis, research project, code contribution or publication, clearly identifying
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific
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LC-MS platforms available at Aarhus University. Collaborate with both university researchers, clinical researchers and two involved companies. Writing well-documented, reproducible code and
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, or related areas. You need to be able to plan, conduct, transcribe, and systematically code interviews and focus groups with upper secondary students, teachers, and school leaders, and to translate
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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may include literature studies, preparation of research instruments, support for data collection, organisation of research materials, transcription or preparation of qualitative data, preliminary coding