Apply for the Malaria Modelling Fellowship 2024 in Nigeria
Are you a public health professional in Nigeria with a passion for combatting malaria through innovative strategies? The Malaria Modelling Fellowship 2024, funded by the Bill and Melinda Gates Foundation, is calling for applications. This unique initiative aims to enhance your mathematical modelling skills, focusing on malaria epidemiology. But what does the fellowship entail, and how can it transform your career?
The Malaria Modelling Fellowship 2024 stands as a pioneering initiative aimed at enhancing the mathematical modelling capabilities of public health professionals in Nigeria. This prestigious fellowship, funded by the Bill and Melinda Gates Foundation, is a collaboration between Corona Management Systems (CMS), the National Malaria Elimination Programme (NMEP), the Nigeria Centre for Disease Control and Prevention (NCDC), and the World Health Organisation (WHO). It represents a significant step towards equipping Nigerian health professionals with the skills necessary to tackle malaria through innovative modelling techniques.
Programme | Malaria Modelling Fellowship 2024 |
Funded by | Bill and Melinda Gates Foundation |
Partners | CMS, NMEP, NCDC, WHO |
Aim | Build capacity in mathematical modelling for malaria |
Cost | Fully Funded, with support for fellows |
Eligibility | Master’s or higher in related fields, 3 years’ experience, English proficiency |
Deadline | 18th February 2024 |
On this page
Aims of the Fellowship
The MMF seeks to achieve two primary objectives:
- Bolster the Ranks: Significantly increase the number of doctoral and post-doctoral level trained mathematical modelers specialising in malaria, who are based at Nigerian institutions.
- Enhance NMEP’s Capacity: Amplify the capacity of the National Malaria Elimination Programme (NMEP) to utilise modelling approaches. These approaches are instrumental in supporting strategic planning and the evaluation of malaria control and elimination efforts.
What the Fellowship Offers
Comprehensive Funding
The MMF is fully funded, ensuring that fellows receive comprehensive support for both physical and online sessions. Special provisions are made for female fellows with children under 18 months, highlighting the programme’s commitment to inclusivity and support for women in science.
Eligibility Criteria
To be eligible for this transformative opportunity, applicants must:
- Hold a Master’s degree or higher in public health, epidemiology, biostatistics, bioinformatics, applied mathematics, or related fields.
- Have specialised training in malaria and other infectious disease control programmes, including those who are residents or graduates from accredited Field Epidemiology training programmes.
- Be currently affiliated with a Nigerian public institution working within the ‘One Health’ scope – encompassing human health, animal health, and the environment.
- Possess a minimum of 3 years’ professional experience.
- Demonstrate proficiency in Microsoft Excel and the ability to communicate effectively in English.
- Exhibit problem-solving skills and the capacity to work independently with minimal supervision.
Application Process
Interested and qualified candidates are encouraged to seize this opportunity by applying through the official application portal.
For additional details regarding the fellowship, eligibility, and the application process, please visit the Malaria Modelling Fellowship website.
Application Deadline
The application deadline is set for February 18, 2024, urging potential fellows to submit their applications promptly.
Conclusion
The Malaria Modelling Fellowship 2024 offers an unparalleled opportunity for public health professionals in Nigeria to advance their careers by gaining in-demand modelling competencies. By participating in this programme, fellows will not only contribute to the fight against malaria but also join a dynamic network of professionals dedicated to making a lasting impact on public health in Nigeria and beyond. If you meet the eligibility criteria and are passionate about leveraging mathematical modelling for malaria control and elimination, apply now to become part of this innovative fellowship.
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