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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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simulation (e.g., Python, MATLAB). Prior experience with industrial research collaborations and the patent filing process is a plus. Qualification requirements Appointment as postdoc requires academic
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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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instrumentation (e.g., pumps, flow-controls); Basic laboratory automation and programming (e.g.; Matlab, Python, Arduino); Writing reports; Mentoring of younger students. Personal Skills “Hands-on” approach
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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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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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languages (e.g. FORTRAN, Python) is required. A strong background and experience in operating, analysing and visualising large datasets is desired. Track record of peer reviewed publications in high level
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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
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine