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applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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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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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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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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methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
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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