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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
ECTS Master Degree or 300 ECTS Bachelor degree or equivalent schemes in Chemistry, Computational Chemistry, Biotechnology, Biochemistry, Bioinformatics, Biophysics or a related discipline. Background in
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Criteria A minimum 2:1 Honours degree in computer science is required; experience and research enthusiasm are valued. A Masters qualification is not required if you have a minimum 2:1 degree or can evidence
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to enable novel low latency highly scalable and flat interconnect AI compute clusters. To achieve these objectives, the project is organized into the following main activities: Investigate disruptive new
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and collaborate with researchers from relevant disciplines Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in
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About Us Georgia Southern University is the state's largest and most comprehensive center of higher education south of Atlanta. With nearly 150 degree programs at the bachelor's, master's and
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reconstruction and analysis. Turn novel research algorithms into robust tools that can be used by scientists beyond the original developers. Design APIs and workflows for both rapid internal research and reliable
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) scholarship. Courses eligible Doctor of Philosophy (PhD), Doctor of Psychology, Master by Research Eligibility / selection criteria Australian citizen or Australian permanent resident or New Zealand citizen
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primary focus on anisotropic matrix organization. While this project is entirely computational in nature, you will collaborate closely with experimental researchers working with cartilage microtissues and
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an improved mechanistic understanding at the microscopic scale. All PhD projects involve collaborations with industry. These are indicated between square brackets below, along with the name of main supervisor
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video