Zannati Zaoti is a postgrad student; working with a structural biology group. Her field of expertises cover cloning; protein expression and purification; Western-blot; sample preparation for mass spectrometry; mass-photometry; Nano-DSF; negative stain-EM; cryo-EM etc. She is dedicated to build up a challenging and rewarding career in an institution that provides structured career advancement within an extent at competitive and dynamic environment and willing to take challenging opportunities utilizing knowledge, skills and experience.

Ruwini is a specialised neuroscientist with a wide interest in molecular biology, genetics and biochemistry. She is skilled in molecular assays, with sound technological knowledge, and trained in the UK, the US, Singapore and Australia. Ruwini has several publications with conference talks internationally. She also has several years of experience in leadership and management and experience in the start-up ecosystem in Biotech/Med-Tech commercialisation. Ruwini's primary interest is to translate her research skills and knowledge to solving real-world problems.

Karim, a dedicated researcher with expertise in higher education, excels in design thinking, curriculum development, education consulting, data analysis, and digital literacy. Seeking an APR Internship to contribute to innovative education and linguistics projects while honing skills and gaining practical experience.

Sahely's research interests include criminology, security analysis, terrorism and counterterrorism, community engagement for countering crimes/violences and United Nations policies for peacekeeping. She is also skilled in policing and community engagement. Sahely would like the opportunity to apply her research commercially.

Yitian's research is focusing on control theory and optimization, skilled in online optimization, and optimal control and has extensive experience using Matlab, Python and C. Yitian would like the opportunities from industries to learn how to apply theories from control and optimization to solve real-world problems.

Sohan Gunawardena is a Ph.D. student and sessional academic at the School of Computer Science, Queensland University of Technology (QUT). His research focuses on Multi-View Data Learning with Deep Matrix Factorization, where he explores unsupervised and semi-supervised techniques to enhance clustering using text and omics data within machine learning algorithms. With a background as a software engineer for 7 years, he brings a wealth of practical experience to his academic pursuits.

Thanh is a Ph.D. candidate from the University of Queensland, specializing in harnessing AI for transport engineering. Their notable work, "MSGNN: A Multi-Structured Graph Neural Network Model," underscores their expertise in real-time data interpretation. Passionate about leveraging academic insights to drive tangible industry change, he is eager to undertake an internship, aiming to explore and apply generative AI's transformative potential in government services."

Nahiya is an Engineer by profession having completed her B-tech Electronics from India. She has worked as a Lecturer for 3 years. She has also completed her M-tech Nanotechnology from India. Being tenacious and a curious minded person, Nahiya would always try to manipulate objects in order to create something different. She is proud of being a person who is compassionate, kind and believes that her research can contribute to better health outcomes by bringing together science, technology, professional compassion and empathy.

Pranathi's research interests include molecular genetics (qPCR, mutagenesis), molecular biology, drug discovery and development, pharmacology and toxicology. As a part of her academic career she has skills in biostatistics, scientific data representation through MS office and Graphpad prism software. She also has experience using in-vitro cell culture models for molecular action elucidation of novel drug compounds and teaching experience as a tutor. Pranathi would like the opportunity to apply her research commercially.