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3 Computational Science Jobs

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4.0 - 9.0 years

16 - 30 Lacs

bengaluru, mumbai (all areas)

Work from Office

Role & responsibilities O9 • Retail Supply Chain • Databricks • Forecasting • Time Series • Statistical Modeling • Adaptable and flexible • Ability to perform under pressure • Problem-solving skills • Detail orientation • Prioritization of workload Preferred candidate profile

Posted 3 days ago

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0.0 - 4.0 years

0 Lacs

karnataka

On-site

The role of HPC Research Engineer at Infobell IT Solutions Pvt. Ltd., Bangalore is open to PhD holders, whether fresh graduates or experienced professionals, who possess expertise in High-Performance Computing (HPC) or related fields such as Computer Science, Engineering, Physics, or Computational Science. If you are enthusiastic about performance optimization, parallel computing, and enjoy tackling intricate computational challenges, this position is well-suited for you. Key Qualifications: - Hold a PhD in HPC or a related discipline. - Proficient in programming with strong skills in C, C++, or Python. - Familiarity with MPI, OpenMP, CUDA, or other parallel computing frameworks is preferred. - Demonstrated passion for performance, scalability, and impactful problem-solving. - Possess excellent analytical, research, and problem-solving abilities. Who Can Apply: - Fresh PhD graduates with a keen interest in cutting-edge research within the realm of HPC. - Experienced researchers or professionals with a background in HPC from academia or industry. Why Join Us: Joining Infobell IT will provide you with the opportunity to work on high-impact projects alongside a talented team, utilizing cutting-edge HPC technologies to address real-world problems.,

Posted 1 month ago

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3.0 - 7.0 years

0 Lacs

noida, uttar pradesh

On-site

As an Innovation Engineer in our team, you will play a crucial role in developing cutting-edge software solutions tailored for math and science education. Your expertise in algorithms, computational science, and mathematics will drive the creation of innovative tools to enhance learning experiences. You will be responsible for developing, optimizing, and maintaining algorithmic solutions to tackle mathematical and scientific challenges. Your role will involve designing software that generates diverse and complex math and science question sets to support various educational curricula. Collaborating closely with educators and subject matter experts, you will translate learning objectives into computational logic and software features. Integrating numeric, symbolic, and computational methodologies, you will create efficient educational tools that facilitate transparent and effective learning experiences. Your work will also involve evaluating and implementing AI/LLM-based modules where they enhance algorithmic approaches, particularly for tasks like natural-language parsing or automated explanation, while critically assessing their performance and limitations. To qualify for this role, you should hold a Bachelor's or Master's degree in Mathematics, Computational Science, Computer Science, Engineering, or a related quantitative field. Additionally, you should have a minimum of 3 years of hands-on experience in computational roles focused on algorithm development, symbolic/numeric computation, or mathematical modeling. Proficiency in programming languages such as Python, C++, Java, or similar languages, along with experience in computation-focused libraries like NumPy, SymPy, SageMath, MATLAB, or Mathematica, is essential. Preferred qualifications include experience in developing educational software involving symbolic/numerical computation or complex algorithmic logic, as well as an understanding of modern AI tools and their applications in math and science problem solving. You should possess the ability to judiciously integrate LLMs or AI-based modules for specific tasks where algorithmic solutions may be impractical. Key skills for success in this role include analytical and logical reasoning abilities for mathematical modeling and software design, a genuine passion for leveraging technology to advance math and science education, effective communication skills for cross-functional collaboration, and awareness of recent advancements in computational math and AI approaches to strategically apply them where they offer distinct value.,

Posted 1 month ago

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