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Back in the dark ages before Python truly conquered all, when numerical computation demanded something more than spreadsheets and Fortran, emerged MATLAB. It promised a unified environment for matrix-based calculations, simulation, and data analysis – a digital playground for engineers and scientists. Quite clever, really, though one does wonder if its initial appeal stemmed more from a desperate need for something than actual brilliance.
The reality? A powerful but often frustratingly expensive tool. While it can do almost anything you throw at it, achieving that 'almost anything' often requires mastering a peculiar syntax and accepting a licensing model that makes venture capitalists weep. Alternatives like Python with NumPy and SciPy have steadily eroded its dominance, offering comparable power with a significantly friendlier price tag and a far more vibrant open-source community. MATLAB still clings on in academia and established engineering firms, a testament to the inertia of legacy systems and the enduring appeal of a well-polished, if somewhat pricey, interface.
Used together with MATLAB
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data scientist
Quantitative Researcher | Trading Team @ jump-trading
NL | 2025-12-28
This role seeks quantitative researchers to analyze financial markets using advanced statistical and machine learning techniques. The position requires deep technical expertise in C++/Python,...
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Computer Science, AI/ML, Data Engineering, Linux, Python, R, MATLAB, PhD | ||
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data scientist
AI Language Engineer, Artificial General Intelligence - Data Services @ amazon
NL | 2025-12-27
Amazon's AGI Data Services team seeks Language Engineers to develop multimodal datasets using synthetic, model-supported, and human-in-the-loop methods, with the key differentiator being expertise...
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AI/ML, Data Collection, Python, Computer Science, SQL, R, MATLAB, Unix, PhD, API, Git, Agile/Scrum | ||
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promoted
BigQuery Cost Optimization Guide by Masthead DataThe BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of... |
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data scientist
Product Design Engineer @ itt
NL | 2025-12-24
ITT’s KONI unit bases its product design role in a conventional NPD groove: concept through gate-controlled realization, with a strong emphasis on design for manufacturing and cost, DFMEA, and...
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R, Management, MATLAB |
