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, biochemistry, biotechnology, bioinformatics, computational biology, biostatistics or a related field. Experience in either experimental or computational biology Fluency in written and spoken English Our
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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Physics. Research experience: Lab experience in materials processing, material characterization, electrical instrumentation, or microfabrication. Interests and research profile: The research topic is 80
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months in the past 3 years. You have hands-on experience with the analysis of microbial genomic data. You have a good knowledge of English, both oral and written. Your research qualities are in line with
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potential to publish in high-quality peer-reviewed journals Experience in mixed-method research Experience conducting interviews, workshops, focus groups or participatory research Interest in citizen science
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learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus.Relevant skills include:•Experience
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, engineers, etc.) and have access to many experimental facilities and a network of international collaborations. Where to apply E-mail [email protected] Requirements Research FieldAllEducation
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structures) and the incidental learning of new patterns. To this end, we employ a range of methods, with a focus on behavioral experiments and electroencephalography (EEG). What are your tasks? At least 70% of
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advantage. Furthermore, experience in student supervision is an asset for this position; the successful applicant will be expected to recruit and supervise students. The application package should contain: A