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Field
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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available in the laboratories of Prof. Ross Wang (Department of Chemistry) and Prof. Vincenzo Carnevale (Department of Biology). The joint position expects the candidate to pursue protein engineering and
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Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega. Requirements We seek a highly motivated student with: A Master’s degree in physics, chemistry or
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The chair of Prof. Dr. Gabriele Bucchi, at the Italianistics Division of the Linguistics and Literature Department of the University of Basel opens a position for a PhD candidate to be integrated in
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with Prof Tawfique Hasan at the NanoEngineering Group at the Cambridge Graphene Centre, and will closely collaborate with SRA, PDRA, and technician team members. Applicants must have (or be close to
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development experience in the following areas: Machine Learning/AI, Internet of Things technologies. For further information, please contact Prof Gyu Myoung Lee G.M.Lee@ljmu.ac.uk . In return, we offer
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to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, contact Prof. Anton Zasedatelev, anton.zasedatelev
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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ID: PMP_TRR408_C5 Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co-supervised by at least one leading international researcher Requirements
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset