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written) Demonstrate interest on medical imaging domain through previous experience, courses, hackathons, personal projects or similar Strong Python knowledge and proven experience with PyTorch Previous
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level. Background in solid-sate physics, semiconductor devices, quantum information, and/or analogue circuits is desirable. Experience in data analysis and programming, particularly in the use of Python
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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publish in top venues, collaborate with leading researchers and develop your own research line within a supportive, highly visible group. Where to apply Website https://www.academictransfer.com/en/jobs
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group, please visit https://sites.google.com/view/marislab/ Data-driven ship performance analysis Green and sustainable shipping technologies Intelligent ship operation and navigation systems Ship
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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alignment, lasers, fibre optics, or low-flux detection is a strong asset. • Skills in modelling and scientific computing (Python, Matlab, etc.). • A rigorous, hands-on approach and enthusiasm for working