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is required. If necessary, the applicant selected for the position will be trained in indoor localization. ? Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along
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the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Proficiency in one or more programming languages (Python, R, SQL, MatLab, etc.) Background
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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(e.g., Python, MATLAB, or similar). Excellent analytical, communication, and teamwork skills. A collaborative mindset and the ability to work in multidisciplinary and international teams. You are
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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stereotaxic procedures Prior experience in analyzing experimental data in MATLAB and/or Python. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600-$194,800
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. Skilled in MATLAB and Python. Experience with C++ and GPU programming (CUDA) is an advantage. Ability to work in a team, communicate effectively, coordinate multidisciplinary collaborations, and manage
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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neuroimaging. You work in a multidisciplinary environment that combines technical expertise with clinical relevance. Where to apply Website https://www.academictransfer.com/en/jobs/357524/multimodal-mri
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. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal candidates should have a strong quantitative and programming background