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of qualitative and/or quantitative data in psychological research contexts (30%); A2.3 – Experience in the analysis of quantitative and/or qualitative data, including the use of specialised software (e.g., SPSS
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models with cutting edge molecular techniques to define the pathobiology of respiratory diseases and develop novel therapeutic strategies. The Müller Lab collaboratively designs high-throughput molecular
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networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage next-generation
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-augmented Secure Software Developmen. The call is governed by this Notice of Opening, the University of Coimbra Research Grant Regulations (RBI-UC), subsidiarily by the Research Grant Regulations
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy
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specialty clinics. Here you can define your career among our many clinical and nonclinical positions — with growth, opportunity and support every step of the way. Learn more about MU Health Care. Learn more
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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that are relevant to industry demands while working on research projects in SIT. This position is established to provide dedicated, high-level technical and research expertise in integrating NLP, speech, and software
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becoming standard practice. However, achieving formal assurance of software correctness remains a complex challenge. Seminal work in programming language semantics provides powerful frameworks