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., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal
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, or equivalent PPLs. • Strong track record of publications in peer-reviewed journals commensurate with career stage. • Proficiency in Python and/or R; familiarity with high-performance and cloud computing
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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related discipline. Working knowledge of Python. Knowledge of a computing environment (Mac or PC). Ability to work independently and in a team environment. Preferred Qualifications Experienced in working
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 14 days ago
candidate must have a solid background in computer science as applied to scientific research. Knowledge of scientific programming, particularly in Python and/or MATLAB, is highly valued, as is experience with
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. Practical experience with large-scale real-world time-series data. Experience with clinical or biological datasets. Practical experience with Python and SQL. Knowledge of wearable, molecular and health data
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; b) Programming languages: C/C++, Python, etc.; c) Previous use of ROOT and GEANT applications is considered an advantage; d) Experience in analyzing large datasets is considered an advantage; e
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as
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. - Experience with clinical or biological datasets. - Practical experience with Python and SQL. - Knowledge of wearable, molecular and health data. - Knowledge of research methods and statistical procedures