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Exploring behavioral and cognitive aspects characterising enterprising individuals and the international opportunities they exploit

Entrepreneurship plays a crucial role in economic development, job creation, and social welfare. However, entrepreneurial behaviors are not growing as quickly as expected (Randerson et al., 2020).Despite previous research attention being paid to the role of individuals as key actors within the process of entrepreneurial internationalisation, research (see for example, McDougall, Shane, and Oviatt, 1994) points out that international business studies have focused greatly on analysis of the firm, largely ignoring the individual and small group level of analysis.Additionally, a …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations
Research centre(s)

Australian Centre for Entrepreneurship Research

How do we find what we are looking for in a visual scene?

Our everyday environment contains lots of objects, but we need to find what we are looking for out of the cluttered environment, and we often need to do so quickly. If you miss an obstacle on the road while driving, for example, its consequence can be grave.Luckily, our visual system (or, more generally, attentional system) can use various cues to facilitate this search.This project will investigate what cues the visual and attentional system uses, and how they affect behavioural and …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Psychology and Counselling

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Teacher Education and Leadership

Using image recognition to forecast stock price movements

This project will use images of technical stock price movements from Bloomberg to train neural network models to predict stock price changes and volatility.

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Economics and Finance

Machine learning for understanding and predicting behaviour

Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Experimental evidence on entrepreneurial skills and cognitions

An important perspective in Entrepreneurship research focuses on the entrepreneurial mindset, underlying skills and cognitions, and the potential to train these skills. What is particularly needed are experimental designs that develop and test a certain training method in randomized-controlled trials. This can deliver important implications for practice and education, given that entrepreneurship education has become a key topic on the political agenda around the globe.

Study level
PhD, Master of Philosophy
Faculty
QUT Business School
School
School of Management
Research centre(s)

Australian Centre for Entrepreneurship Research

Molecular mechanisms of bacterial proteins involved in host recognition and defense

Pathogenic bacteria employ a large repertoire of molecular weapons known as virulence factors to infect the host and cause disease. In particular, autotransporter proteins, the largest family of secreted virulence factors in Gram-negative bacteria, promote bacterial colonisation, biofilm formation and host cell invasion and/or damage (1). In response, host cells deploy various antimicrobial strategies, such as the mobilisation of copper at the site of infection, which induces bacterial stress.Despite the abundance of autotransporters and their roles in infection, their mechanisms …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

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