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of molecular systems and statistical mechanics, as well as skills in molecular dynamics simulations, is highly desirable. Proficiency in programming would be highly beneficial. A good command of English is
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
particular: Investigation of reaction mechanismus using density functional theory and statistical thermodynamics Kinetic modeling using mean-field models and transition state theory Conducting MD simulations
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, Neuroscience, Physics or a related field. Candidates should have strong skills in machine learning and statistics and experience with Gaussian process regression and/or probabilistic regression. Experience with
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theoretical background in cognitive and neural functions, experience in cognitive assessment and neuroscientific research, advanced knowledge of statistics, as well as an interest in neuroimaging techniques and
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. Models: Cell culture and mouse studies will test selected BEV–brain pathways. Data analysis: Bioinformatics and statistical tools will integrate molecular data with existing clinical and lifestyle
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psychoneuroendocrinology, enthusiasm for interdisciplinary research, and strong skills in experimental set-ups/performing lab-based studies and statistics. Programming skills (Python, R, Matlab) and experience with MRI data
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. Essential qualifications include solid programming skills (preferably in Python and R), proven experience in the analysis of large-scale datasets (e.g., NGS, metabolomics), and familiarity with statistical
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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of audiovisual psychophysical studies with electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)•Statistical analysis, computational modelling and presentation of behavioural, EEG data and