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on experience with optics, fiber optics, sensors, miniaturized systems design and development. • Programming skills in C++ and MATLAB; additional relevant programming skills are an advantage. • Strong teamwork
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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Research Group “OpTBtreat (Optimising tuberculosis treatment: causal inference framework and mathematical modelling to support the development, prioritisation, and impact assessment of novel tools and
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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, scientific curiosity, and commitment to scientific excellence. • Advanced hands-on experience in optics, sensors, lasers, optical fibers. • Programming skills in MATLAB / Python • Team player skills and
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Neurosciences, Life sciences or related fields Experience in behavioural and molecular techniques Programming experience (Matlab and/or Python) interest in interspecies / interdisciplinary studies Please send
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or
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identify and optimise water management practices that preserve or restore hydrological and biological connectivity. Work will be carried out in the Sub-Project HYDROCONNECT. We are looking for a candidate to
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-based imaging system at HZI, perform experiments in prototype systems, and provide critical feedback to collaborating engineers to optimise the system. The ultimate aim of the system is to provide
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal