61 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions at Technical University of Munich in Germany
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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understanding of immunology and the central nervous system • Very good written and spoken English • Analytical and creative mindset, with a strong willingness to learn new techniques Desirable experience • FELASA
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: Prof. Dr. Antonella Di Pizio (a.dipizio.leibniz-lsb@tum.de). More information on the working group can be found here: https://www.leibniz-lsb.de/forschung/forschungssektionen/sektion-iii. Please send
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or similar • High level of self-motivation to achieve a doctorate • Analytical, creative and solution-oriented mindset • Strong interest in familiarising yourself with new topics and learning complementary
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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exclusion study in Southern Germany which has undergone long-term drought treatments since 2014 (KROOF: https://www.lss.ls.tum.de/en/lsai/kroof/). You will use this unique experimental setup, in which drought
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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? Our current research is based in India, Rwanda, and Uganda, but we are always seeking ways to learn about and work in new places! You can find out more about us here. About the PhD Researcher Position
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models