We are currently looking for an experienced and enthusiastic Registered Nurse to join our clinical team at Derwent Views home in Hobart, Tasmania. This is a permanent part-time position that involves covering 7 night shifts per fortnight. If you are passionate about nursing and thrive in a dynamic environment, we encourage you to apply and become an integral part of our team.

The Organisation: Respect Group Limited is a rapidly growing, not-for-profit, progressive, and purpose-driven aged care and retirement living provider that operates across Tasmania, Victoria, and New South Wales. Respect is known for the great care we provide to our clients and the supportive and respectful working environment for our employees.

The Position: The Registered Nurse (RN) is responsible to provide safe, competent and contemporary clinical nursing care to residents within the scope of practice as determined by the Australian Health Practitioner Regulation Agency (AHPRA). The Registered Nurse (RN) is responsible to provide safe, competent and contemporary clinical nursing care to residents within the scope of practice as determined by the Australian Health Practitioner Regulation Agency (AHPRA).

Essential:

• Current registration with the Australian Health Practitioner Regulation Agency (AHPRA).
• Knowledge of the Residential Classification Scale and Standards for Aged Care.
• Current National Police Certificate (or ability to acquire).

Desirable:

• Knowledge of the standards required by the government for the delivery of aged care.
• An understanding of the Commonwealth Aged Care Funding Instrument.
• Strong clinical and documentation skills.
• An understanding of the aged care accreditation process.
• Leadership skills.

To be considered for employment with Respect, each candidate must satisfy the legislative requirements of Aged Care Worker Screening to ensure suitability to work in the aged care industry.

What we can offer you:

• Part time or casual employment.
• Workplace flexibility.
• On-going Learning and development opportunities.
• Salary packaging up to $15,900 per annum.

We are looking for an AMAZING ALL-ROUNDER Vet Nurse!

Do you love a bit of variety in your day? Are you just as happy to be in surgery monitoring an anesthetic as you are to be out the front helping customers or assisting in a consult?

We pride ourselves on being an exceptionally well-performing team, able to utilise each other’s skills and work together - this is a great opportunity for a Vet Nurse looking to be a part of a team-based environment within an experienced, supportive and wonderful team!

Greencross Kangaroo Flat is an open plan design, aiding in the inclusive and cohesive team environment amongst our Vets and Vet Nurses. We are a community focused practice with some very loyal long-term clients, team wellbeing and mental health is a top priority, supported with flexible working arrangements. Our facilities include 2 consult rooms, prep area, surgical room, radiography room, seperate dog and cat wards. 

About your New Job:

• Casual or Part-time role available
• Undertaking general nursing tasks, including pre and post-operative care, animal pathology and emergency and critical care
• Performing minor procedures when required
• Reception duties and customer service
• Maintaining the overall hygiene of the practice, including surgical areas and equipment

About your skill level and experience:

• Certificate IV in Veterinary Nursing 
• 2+ years' Veterinary Nursing experience
• Excellent animal handling skills and an extensive knowledge and understanding of veterinary nursing procedures
• A calm and friendly presence
• Strong communication and customer service skills
• Flexible and adaptable within a team environment
• Knowledge of RX Works ideal but not essential 

Apply now! We would love for you to come and meet the team!

The Research Fellow (Grade 1) will  work with a team of researchers on the NHMRC Project “Unmasking HIV latency through disruption of HIV synapses”. The primary purpose of this position is to develop highly automated live cell image analysis pipeline to reveal the spatial-temporal dynamics of Ca2+-HIV synapse biology.

The appointee will be given the opportunity to:

• Collaborate with cell biologist at the Institute for Glycomics, Griffith University, that study HIV replication.
• Work on live-cell imaging using state-of-the-art high-speed microscopy for 4D analyses.

Key responsibilities for this position will include, but are not limited to:

• Conduct research that contributes to the development of an AI-enabled live cell image analysis pipeline for the NHMRC project.
• Develop an excellent publication record in high impact, international, esteemed peer-reviewed journals and conferences, and to seek competitive funding.
• Manage the preparation and formulation of publications, presentations and research reports arising from the research.
• Assist in mentoring and supervision of higher degree research candidates.
• Coordinate meetings between researchers and participating external participants as required.

This is a fixed term (until 31 December 2026), full time position and will be primarily based at the Griffith University Gold Coast campus. As Griffith is a multi-campus University you may be required to work across other campus locations.

Griffith University’s campuses are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples.

Salary Range
The full time equivalent base salary will be Research Fellow, Grade 1 range $84,830 - $99,367 per annum + 17% superannuation. The total FTE package will be in the range $99,251 - $116,259 per annum.

What matters most is your drive to create a brighter future that benefits all. Through our core principles of excellence, ethics and engagement, you’ll thrive on seeing the direct and lasting impact you’ll have on every community and every future.

You will also have:

• A PhD or equivalent qualifications/work experience in Computer Science, Engineering, or Applied Mathematics.
• Solid research experience in developing AI-enabled computer vision system for non-rigid object segmentation and tracking. Experience in cell image analysis is highly desirable.
• Demonstrated publication record in high quality peer-reviewed journals and/or conferences in computer vision and machine learning.
• Excellent collaboration skills in cross functional teams with the ability to communicate to both technical and non-technical audiences.
• A demonstrated ability to work independently to meet competing deadlines, as well as to work effectively as a member of interdisciplinary teams and communicate effectively with a range of stakeholders.