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similar fields Expertise in MRI acquisition and reconstruction Experience with accelerated reconstruction and/or non-cartesian MRI is a plus Programming expertise (e.g., Python, Matlab) Deep learning / AI
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models) - Survival analysis (Cox models, competing risks) - Demonstrated knowledge of R - Familiarity with Matlab, SPSS and similar programs are an asset - Excellent verbal and written communication
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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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, physics, math, computer or information sciences, or related technical area. Experience with MATLAB, Python, or similar abstract language. Demonstrated proficiency in signal processing. Demonstrated ability
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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: The successful candidate will be expected to: • Teach undergraduate courses and labs in mechanical engineering. • Incorporate hands-on learning, including MATLAB, design via CAD drawing, and 3D printing
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mechanical design Experience with beam shaping techniques (e.g., spatial light modulators, diffractive optical elements) Proficiency in programming languages like LabVIEW, Python, MATLAB, or C++, and
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is