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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
-disciplinary academic environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers two full-time project positions in the context
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
to work both independently and collaboratively with researchers, humanitarian workers, and other colleagues from different scientific backgrounds. · Strong statistical and computer skills including
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Data Processor, as defined under the General Data Protection Regulation (GDPR). Our legal basis for much of our data processing activity is ‘Legitimate Interests’. You have the right to object to us processing
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. Qualifications: Strong research productivity and demonstrated potentials; Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Statistics, Applied Math, or related field); A minimum relevant
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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering