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probes) as well as in modern data analysis, machine learning/artificial intelligence, and data science methods is highly desirable. Active engagement in research collaborations within the research division
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Brandenburgische Technische Universität Cottbus | Senftenberg, Brandenburg | Germany | about 2 months ago
Decarbonisation”, “Health and Life Sciences”, “Global Change and Transformation Processes”, and “Artificial Intelligence and Sensor Technology”. BTU offers its students on both the Cottbus and Senftenberg campuses
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“DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of Education and Research (BMBF) under “Major
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competencies in applying advanced methodological and statistical approaches and technologies (e.g., experience sampling, virtual/mixed/extended reality, machine learning, artificial intelligence) are desirable
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AI and statistical models for power prediction using digital twins. We use innovative artificial intelligence methods to develop precise, dynamic and adaptive digital twins that enable highly accurate
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Transformation Processes" and "Artificial Intelligence and Sensor Technology" – it combines its strengths in teaching and research across institutes and faculties. At its locations in Cottbus and Senftenberg
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: “Energy Transition and Decarbonisation”, “Health and Life Sciences”, “Global Change and Transformation Processes”, and “Artificial Intelligence and Sensor Technology”. At its campuses in Cottbus and
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W3 or W2 with tenure track to W3 professorship in General Geophysics / W2 professorship in Geographi
(machine learning, artificial intelligence, data fusion). Applicants must have an excellent academic track record and be able to engage with both human geography and physical geography. Leadership skills and
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. In addition, the Medical Faculty would like to further develop the subject areas of prevention and artificial intelligence, causal methods and public health. Active participation in the ethics
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, outstanding infrastructure and a high level of administrative support. The successful candidate will lead novel and innovative research in the broader field of Biological Artificial Intelligence. Areas