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methods in meteorology (atmospheric data assimilation). This contributes to the cutting-edge research expertise of the College and the University in the strategic areas of Machine Learning, Statistical Data
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The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Computer Science and Machine Learning. Candidates must hold a Ph.D. in this field or a closely related
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and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research projects with industry partners. Develop hybrid quantum-classical applications integrating
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine learning and data analysis. Familiarity with one or more of the following areas
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 3 months ago
of novel computational approaches at the intersection of semiempirical quantum chemistry, machine learning potentials, and implicit solvation models. Requirements Experience in computational chemistry
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. Minimum Requirements A PhD in Electrical and/or Computer Engineering, or a closely related field, is required for all ranks. Assistant Professor: PhD by the time of appointment. Associate Professor: In
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; a demonstrated interest in educational innovation; strong problem-solving, debugging skills and working knowledge or familiarity with machine learning, deep learning, statistical software, and