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Field
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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl
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processing, such as Python, MATLAB, or equivalent. - Prior involvement in data-driven research projects in heterogeneous catalysis, reaction engineering, or related fields. - Demonstrated adaptability
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computational background. • Proficiency in spike train analysis and neural decoding methods. • Advanced programming skills in MATLAB, Python, or R. • Experience with surgical procedures and in vivo recording
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systems; Programming in Python, MATLAB, or similar. Excellent written and oral communication skills in English are required. Assessment criteria Particular emphasis will be placed on knowledge and
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Stochastic Processes. Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural nets will be valued but not required. Additional Information Applicants must complete
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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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implementation of microfluidics. Has intellectual expertise in cancer biology. Preferred: Has experience with metabolic assays. Data Analysis Required: Can conduct sophisticated data analysis using MATLAB and
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leave of absence. The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong
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programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between
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and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach