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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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applied statistics / data science courses such as Probability and Statistics for Computer Science, Basics of Statistical Computing, Probability and Statistics for Electrical & Computer Engineering
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master’s degrees of national and/or regional significance in the arts and sciences, business, humanities, education, and health and human services, a specialist degree in instructional technology, and PhD
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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, collaborate openly across institutions, and have the stamina to push through the engineering challenges that come with real-world physical AI. Your experience and profile: a PhD degree in Computer Vision
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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Professor will be responsible for teaching undergraduate and graduate courses in computer systems and algorithm design on a temporary basis. Teaching may be in our core courses alongside other faculty
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). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual
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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe