52 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral scholarships
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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courses The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany
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Branch Office DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail.: postmaster@daad.org.cn WWW: http
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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Department of Clinical Microbiology The Dwibedi research group at the Department of Clinical Microbiology and the Laboratory for Molecular Infection Medicine Sweden (MIMS; https://www.mims.umu.se
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jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition: President: Carlos António Bastos de Morais Guerra Effective Members: Adélia Jesus
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for optical transmission and OPV reception will be part of the recruited person’s tasks, and will require a background in optoelectronics. Where to apply Website https://www.unilim.fr/recrutement-post
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital