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-ter’s, and PhD programs of the Department, specifically in the fields of Management Engineer-ing and Innovation. It may also include advanced-level courses taught in English, closely aligned with
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degree in computer science / mathematics /telecommunications / automatics, when starting the PhD. Programming: - Python language (required) - Deep Learning libraries (like TensorFlow, Keras, PyTorch
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Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | about 21 hours ago
anthropology Cultural studies » Asian studies Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 May 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract
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mathematics (diploma or master's degree) German language skills, if not first language: C1 Good computer skills Desired: PhD-theses in mathematics education Desired: Professional experience in teaching
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of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in
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mathematical modelling Machine learning and/or other quantitative modelling in AI Statistical modelling Numerical analysis and scientific computing. The posts are full-time and are fixed term for a period of up
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courses is available in the Coastal Carolina University course catalog: https://catalog.coastal.edu . Responsibilities · Teach undergraduate PALS courses using effective, student-centered
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engineering Mathematics » Applied mathematics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:00 (Europe/Athens) Country
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engineering Mathematics » Applied mathematics Mathematics » Probability theory Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Athens
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. Fluency in English (C1 level or higher). Hands-on experience with Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace). Solid foundation in machine learning, deep learning, and neural network