5 Research Methodologies jobs in South Africa

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Post-Doctoral Fellowships – Council for Scientific and Industrial Research (CSIR)

The CSIR has three temporary opportunities for Post-Doctoral Fellowships in the Southern Ocean Carbon and Climate Observatory programme (SOCCO), within the Smart Places cluster, and hosted at the Marine Institute (Ma-Re), UCT. The purpose of the fellowships is to conduct research in line with three H2020 projects in which SOCCO is a partner. These positions are offered as a two-year contract with the possibility of extension for a third year. These opportunities are based in Rosebank, Cape Town.

• Southern Ocean CO 2 and heat uptake : the future role of the Southern Ocean in influencing the rates of global warming depends critically on the sensitivity of its uptake and storage of heat and anthropogenic CO 2. This sensitivity is thought to be largely dependent on the response in the physics of the mixed layer and sea ice system to climate change. This fellowship aims to use air-sea CO 2 reconstructions, high resolution models as well as Earth System Models (ESM) to examine the climate sensitivity of the mechanisms that explain CO 2 and heat ocean-atmosphere fluxes in the Southern Ocean.
• Southern Ocean emerging feedbacks in carbon cycle: the sensitivity of coupled ocean-atmosphere physical and ocean biogeochemical mechanisms to climate forcing can lead to regional non-linear responses that lead to changing feedbacks, thresholds of abrupt change and tipping pointes. This fellowship aims to use the South African ESM combination with other CMIP6 models to examine how non-linearities in the carbon cycle can be linked to specific physical and biogeochemical mechanisms, their scales and dynamics in the Southern Ocean.
• Southern Ocean Biogeochemical model development: the sensitivity of the ocean biological carbon pump to climate forcing is critical to project changing carbon feedbacks in the second half of the 21 st century, particularly in the Southern Ocean. For this fellowship the successful candidate will be a biogeochemical modeller, who will be responsible for model development through improved parameterisations of physiological processes for phytoplankton in coupled biogeochemical-physical models. This will be done based on experience in parameterisations for functional responses to multiple drivers. Observational data will be collected under varying conditions that will be used to derive and implement new relationships into numerical models.

• Initiate further independent research within the strategic objectives of the current programme;
• Assist with Master’s and Doctoral supervision of students in support of the SOCCO/UCT-Ma-Re human capital development mission;
• Lead, assist and supervise field data collection and model development;
• Contribute to the writing of numerous reviewed journal publications, and be the lead author of at least two.

• A Doctoral degree in Ocean CO 2 or biogeochemical modelling and/or observations, with experience in modelling;
• Experience in acquiring and processing large global data sets as well as running and analysing model outputs;

Overview

University: Heidelberg University
Country: Germany
Deadline:
Fields: Bioinformatics, Computer Science, Medical Technology, Image Analysis, Data Science

Are you passionate about harnessing the power of data science and image analysis to revolutionize medical diagnostics and patient care? This doctoral opportunity at the University Medical Center Mannheim, part of Heidelberg University, offers a PhD position in ophthalmology, working alongside clinicians and scientists to advance science and patient outcomes.

About The University or Research Institute

Heidelberg University is one of Germany’s oldest and most renowned institutions. Its Medical Faculty Mannheim, in partnership with the University Medical Center Mannheim, leads in medical research, education, and clinical care. The University Medical Center Mannheim serves a large regional footprint, with numerous clinics and institutes and a substantial staff, providing a rich environment for interdisciplinary research and professional growth. Mannheim is a vibrant city in southwestern Germany with strong links to Europe's research and industry networks.

The PhD focuses on developing and implementing advanced algorithms for ophthalmological image data analysis. The rapid expansion of imaging technologies has generated enormous, complex datasets. The project aims to address challenges such as integrating multimodal data and creating robust, scalable solutions to support more accurate diagnostics, personalized treatments, and improved patient outcomes. The research has implications for broader medical imaging, artificial intelligence, and healthcare innovation.

European and German PhD opportunities in related fields are listed on the official job advertisement and related research institution pages.

As a doctoral student in the Department of Ophthalmology, you will:

• Develop and implement algorithms for analyzing image data, including multimodal approaches where necessary.
• Co-develop solutions that integrate various image analysis algorithms.
• Collaborate closely with researchers and physicians in ophthalmology.
• Engage in regular reporting, data curation, data analysis, and quality management.
• Prepare scientific publications and contribute to third-party funding applications.

This is a fixed-term contract for three years, with the possibility of extension. The position offers a high level of responsibility, a diverse range of tasks, and the opportunity to work within an open-minded and motivated team. You will benefit from Heidelberg University’s internal educational programs, support for balancing family and career, and competitive remuneration according to the Collective Agreement for the Public Service of the Federal States (TV-L), including pension benefits.

Ideal Applicants Will Have

• A completed degree (diploma or master’s) in bioinformatics, computer science, medical technology, image analysis, or a comparable field.
• Solid knowledge in machine learning and computer vision.
• Experience with scientific workflows, including data collection, management, and statistical analysis.
• Excellent written and spoken German and English language skills.
• A dynamic, highly organized, and creative personality with a proactive and independent work style.

The University Medical Center Mannheim values diversity and is committed to equal opportunities. Severely disabled persons will be given priority in cases of equal suitability.

For further information, please refer to the official advertisement at the following link:

Application deadline:

Reference number: 899-076

If you are eager to advance your expertise at the intersection of data science, medical imaging, and clinical research, and wish to contribute to meaningful innovations in healthcare, this PhD position at Heidelberg University offers a unique platform. We encourage qualified and motivated candidates to apply and explore related opportunities in this dynamic field.

An important element of economic growth and transformation relates to the characteristics, determinants and behaviours of firms. Firms are the economic agents that interact at the micro level but ultimately shape aggregate economic trajectories.Firm level data has high potential for enhancing understanding of these interactions as the heterogeneous characteristics of firms are not masked.

The specific objectives of this request for research proposals are:

• To obtain policy-relevant research findings on the determinants of productivity, investment, employment, exports, profitability and output by different firms with different characteristics (incl. size, sector, ownership, export intensity, degree of competition faced, age, past behaviour, and skills makeup). Also, where possible, to examine dynamic decision making effects on outcomes.
• To obtain research findings relevant to government policy questions on the impact of tax incentives (e.g. research & development, MIDP, learnership, section 12I manufacturing) and non-tax incentives on investment, value-add, job creation, capital/labour intensity and growth.
• To obtain economic analyses that could improve policymakers’ insights on issues pertinent to base erosion and profit shifting, including but not limited to corporate leverage and structuring, interest expense in relation to earnings, and linkages between R&D expense and the creation of intangibles.
• To analyse depreciation allowances claimed by companies by asset class and/or sector, and how this relates to economic depreciation of assets.
• To obtain economic analysis that improves the understanding of tax behaviour of individuals and firms.

Researchers with successful proposals will gain access to generally inaccessible data sets located at the National Treasury, subject to agreed restrictions to preserve confidentiality. It is important to highlight that, as of this call, the data are only made available to researchers while physically on National Treasury premises in Pretoria.An inventory of potential data sets is appended to this RFRP.

Submission of proposals is done electronically using appropriate form on the left column of this page. There are three forms to select from; one for individuals, another for groups of individuals and a third one for NGOs. The deadline for submitting proposals is 29 February :59 EET. See full request for research proposals for detailed proposal submission details.

Any questions on the proposal process should be sent to 22February 2016. All queries and responses will be published on this announcement page after this date.