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Bioinformatics with at least one first-author publication, accepted or submitted Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or
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carrier dynamics in luminescent materials. The model will incorporate a user-defined lattice structure with discrete electron- and hole-trapping sites based on defect distributions. Each site will be
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
facilities An informal and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with