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Scientific Computation Freelancers in Egypt
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Find & Hire Scientific Computation in Egypt who are professionals offering their expertise in various Freelance Scientific Computation Services to businesses near Egypt and around the world. Egypt is home to a large pool of talented and experienced Scientific Computation freelancers who can help businesses with professional Scientific Computation services in Egypt. Freelance Scientific Computation services in Egypt are quite affordable on our platform compared to hiring full-time employees.
Truelancer.com provides all types of Freelance Scientific Computation with a range of skilled and talented freelancers in Egypt. We offer the opportunity to save 50% of your business cost by hiring Egypt Scientific Computation freelancers.
Expert Scientific Computation freelancers for hire in Egypt are skilled in using the latest Scientific Computation tools and techniques to deliver effective results for their clients for anytype of Scientific Computation jobs in Egypt . With the help of Scientific Computation freelancers in Egypt, businesses can get their work done quickly. Using Truelancer.com is 100% safe as the money is released to the freelancers after you are 100% satisfied with the work.
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$ 205/hr
Medical and scientific translation and writing
I was born in Alexandria, Egypt. I have been graduated from faculty of education, biology and geology department. I have been worked as a biology teacher since...
$ 10/hr
scientific translator and data entry
I have experience in the field of data entry and scientific translation. Participated in writing books for undergraduate practical organic chemistry. Wrote and...
$ 100/hr
$ 10/hr
Bioinformatics Scientist
Seasoned bioinformatician with extensive experience in NGS data analysis
$ 50/hr
Experienced scientist & bioinformatician with masters degree from UCL
I’m a highly motivated and skilled professional with strong experience in bioinformatics analysis, scientific writing, genome wide association studies, and mult...
$ 30/hr
When hiring for Scientific Computation roles, prioritize candidates with strong foundations in numerical methods, algorithm development, and high performance computing. Look for portfolios demonstrating successful simulation projects, data analysis, and optimization outcomes. Proficiency in tools like MATLAB, Python, and parallel computing frameworks is essential. Clear project scoping and onboarding ensure alignment on computational goals and resource needs, enabling efficient delivery of complex scientific models and simulations.
Freelance rates for Scientific Computation vary significantly by region, reflecting local market demand and expertise availability. In North America, rates typically range from USD 50 to 100 per hour due to high demand for advanced numerical modeling and HPC skills. Western Europe offers competitive rates between USD 40 and 85, while Eastern Europe and Latin America provide cost-effective options from USD 25 to 55. South and Southeast Asia present affordable rates from USD 15 to 40, suitable for scalable scientific data processing projects. Oceania aligns closely with North American pricing, reflecting strong research and development sectors.
Scientific Computation professionals find opportunities across academia, research institutions, engineering firms, and biotech industries. Freelancing and remote work are increasingly common, especially for projects involving simulation, data analysis, and HPC. Mastery of tools such as Python, MATLAB, and CUDA enhances employability and earning potential. The global demand for computational scientists is growing, driven by advances in machine learning, physics simulations, and large-scale data processing.
MATLAB and Python dominate the scientific computation landscape due to their extensive libraries and community support. Emerging tools like Julia offer high-performance alternatives for numerical computing, while frameworks such as MPI and CUDA enable scalable parallel processing. Open-source platforms like GNU Octave provide cost-effective options, making the ecosystem diverse and competitive. These cloud analytics platforms and open-source alternatives cater to a wide range of scientific modeling and simulation needs.
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