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record of publications in leading international scientific journals (Q1) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow. Excellent
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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plus Expertise in programming (C++ and Python) Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete
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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available
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projects. Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred. Knowledge, Skills and Attitudes: Strong programming skills (Python, C++, MATLAB) and