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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods Analyse recorded animal behaviours throughout experimental trials and
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development using Python and/or other programming languages, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical
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data to decode multisensory information Investigate how neural representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network project ANT. The objective of Doctoral Networks is to implement doctoral programs by partnerships of organizations from different sectors across
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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doctoral and masters students. The role offers an opportunity to conduct impactful, collaborative and rigorous research that can make a real difference to the lives of people with bipolar disorder. The post