Medisch secretaresse - polikliniek Gynaecologische Oncologie

Als medisch secretaresse ben jij het eerste aanspreekpunt op onze polikliniek Gynaecologische Oncologie. Je verricht administratieve taken en ondersteunt de artsen, verpleegkundig specialisten en verpleegkundigen tijdens de spreekuren. In dit proces staat de patiënt voor jou altijd centraal. Het is jouw taak om te zorgen voor een gastvrij ontvangst van patiënten, de afhandeling van de binnenkomende telefoontjes, het maken van afspraken, plannen van onderzoeken en de voorbereiding op het (regionale) multidisciplinaire overleg.

Je bent inzetbaar binnen de verschillende spreekuren van onze polikliniek.

Kortom, een heel afwisselende en dynamische functie!

ANIOS Gynaecologie/Gynaecologische oncologie

Als ANIOS op de gecombineerde afdeling Gynaecologische Oncologie/(Uro)Gynaecologie werk je op verschillende plekken: de verpleegafdeling, polikliniek, Spoedeisende Hulp en intercollegiale consultatie. Je werkt onder supervisie van een (oncologisch) gynaecoloog en ziet een breed scala aan patiënten. Daarnaast begeleid je coassistenten en draai je, na voldoende ervaring, voorwachtdiensten.

Er zijn mogelijkheden voor scholing, waaronder echografie. Deze functie biedt ook waardevolle ervaring als je bijvoorbeeld een carrière in de huisartsenzorg overweegt.

PhD position on MRI based electrical conductivity imaging

Magnetic Resonance Imaging (MRI) is central in the journey of oncological patients, from diagnosis to guidance of radiotherapy. Nevertheless, clinical MRIs can only image late-stage macroscopic changes like tumor volume. Early-stage changes due to cancer and radiotherapy are visible at the metabolic level. These changes lead to altered electrolyte concentrations, following cell-membrane pump failures, affecting cellular viability. However, these can only be imaged with highly-specialized techniques and MRI systems, limiting their availability and clinical use.

This project develops a new MRI technology to measure the electrical conductivity of human tissues. The electrical conductivity differs between healthy and cancer tissues and changes rapidly during treatment, making it a promising indicator for non-invasive cancer diagnosis and monitoring treatment response.

This research focuses on developing this technology for clinical MRI machines for brain, breast, and prostate cancer, three of the most common cancer types worldwide. This work will support personalized, effective cancer care improving (cost) efficiency, while creating open-access tools and data to help hospitals and researchers accelerate adoption in clinical practice.

Your work will focus on the development of this technology for brain, from image acquisition, to reconstructions involving AI, development and testing it in phantoms, volunteers and brain tumor patients. The work will also extend beyond conductivity imaging, including e.g., quantitative MRI.

PhD position on MRI based electrical conductivity imaging

Magnetic Resonance Imaging (MRI) is central in the journey of oncological patients, from diagnosis to guidance of radiotherapy. Nevertheless, clinical MRIs can only image late-stage macroscopic changes like tumor volume. Early-stage changes due to cancer and radiotherapy are visible at the metabolic level. These changes lead to altered electrolyte concentrations, following cell-membrane pump failures, affecting cellular viability. However, these can only be imaged with highly-specialized techniques and MRI systems, limiting their availability and clinical use.

This project develops a new MRI technology to measure the electrical conductivity of human tissues. The electrical conductivity differs between healthy and cancer tissues and changes rapidly during treatment, making it a promising indicator for non-invasive cancer diagnosis and monitoring treatment response.

This research focuses on developing this technology for clinical MRI machines for brain, breast, and prostate cancer, three of the most common cancer types worldwide. This work will support personalized, effective cancer care improving (cost) efficiency, while creating open-access tools and data to help hospitals and researchers accelerate adoption in clinical practice.

Your work will focus on the development of this technology for brain, from image acquisition, to reconstructions involving AI, development and testing it in phantoms, volunteers and brain tumor patients. The work will also extend beyond conductivity imaging, including e.g., quantitative MRI.

Postdoc ‘City-based strategies to reduce health inequities and improve cardiovascular health in Europe'

Cardiovascular disease remains the leading cause of death globally. In parallel with an ageing population and increased prevalence of CVD, there is also a major drive towards urbanisation. Around 75% of European citizens already live in urban areas, which is expected to reach 84% by 2050. Urban living accentuates existing challenges in CVD, including poverty, migration, lack of access to healthcare, exposure to environmental risks, and the adverse lifestyle impacts from living in a city. There is no shortage of evidence-based interventions that combat CVD, including educational programmes, screening, prediction, lifestyle change and pharmaceutical therapy.

Unfortunately, there is a major and critical lack of effective implementation, which consistently fail to reach individuals that would benefit the most. Barriers to healthcare access and early intervention, combined with inadequate outreach, have impeded the effectiveness of prior healthcare interventions to underserved communities.

In a large intersectoral European consortium, we bring together industry partners, municipalities, academia, learned societies, and patient organisations to cocreate, pilot, evaluate, and iterate a series of city-level strategies to combat CVD. These will combine medical, technical, social and policy innovations, leveraging health technology from industry partners and existing municipal infrastructure to address the multifaceted and complex nature of urban CVD.

Specific tasks include:

• Developing standardised metrics to assess CVD health of cities in relation to health inequities that can be used as benchmark and to measure progress.
• Identifying a suite of effective city-based strategies across the CVD continuum, from awareness and prevention to detection and management, taking into account local, national and international policies.
• Identifying innovative solutions and leveraging existing and new multi-model data to improve access to and uptake of city-based CVD strategies.
• Co-creating, implementing and evaluating city-based strategies for CVD with citizens, community leaders, and municipalities.
• Contribute to initiatives to improve diversity and health equity in research and innovation.
• Supervision of PhD and MSc students.

In addition to your research, you will spend about 10% of your time on teaching activities. The initial duration of employment is 2 years. After a positive evaluation, the employment could be extended.