558 Computer-Science-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions
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Institute (PQSEI). More information is available at https://quantum.research.purdue.edu . Education The qualified candidate would have a PhD in computer science, applied mathematics, or a related field
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the following areas as demonstrated through at least one first-author publication: machine learning/computer science, computational biology/bioinformatics, cheminformatics. Individuals should have or
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, Cheminformatics, Computer Science, Physics, or a related discipline. Strong background in machine learning and deep learning. Strong programming skills, particularly in Python. Experience in at least one of
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, Cheminformatics, Computer Science, Physics, or a related discipline. Strong background in machine learning and deep learning. Strong programming skills, particularly in Python. Experience in at least one of
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. Contact Information Contact: Sriram V Pemmaraju - [email protected] Clas-Computer Science MacLean Hall 2 West Washington Street 101G MLH Iowa City, IA 52242-1419 Department URL: https://cs.uiowa.edu/
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information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology, environmental science, systems analysis, mathematics, operations research
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engineering, civil engineering, computer science, electrical engineering, data science, etc.). · Demonstrated research experience (≥1 year) in transportation engineering or related areas
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department UBCO | Faculty | Department of Computer Science, Mathematics, Physics and Statistics | Irving K. Barber
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AI, neuroscience, and human health. Required Qualifications: A Ph.D. in computer science, computational neuroscience, biomedical engineering, electrical engineering, cognitive science, applied
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 13 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth