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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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equal at least four years; Experience in data science and web development utilizing applications such as AWS, Python, MATLAB, R, SQL, HTML; Experience in the development of the CoCANoT consortium website
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management. Preferred Qualifications: Ph.D. in Plant Breeding/Genetics, Genomics, or related field, familiarity with plant breeding programs, proficiency in R and/or Python, experience with genome-wide
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data driven. Will you be part of that change? Then join us
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: https://www.list.lu/ How will you contribute? You will participate in applied projects in the framework of the risk evaluation of micropollutant contamination in surface and groundwaters, involving
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The Department of Otolaryngology Head & Neck Surgery - Pepper Lab (https://med.stanford.edu/pepper-lab.html ), a group focused on peripheral nerve regeneration, seeks a Life Science Research Professional 2 (fully
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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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(even at a theoretical or modelling level) with neuromorphic hardware architectures or integrated photonics for signal processing. Proficiency in Python and/or C++, and familiarity with machine learning
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Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing and