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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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. Managing Directors Matthias Tschöp and Mike Frieser: We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a
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employment is generally possible within the framework of suitable working time models, provided that the position is filled on a full-time basis GEOMAR Helmholtz Centre for Ocean Research Kiel seeks
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inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in other topics covered in the Department Social
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
comparisons of health and health inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also
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killifish as a laboratory model by training labs for killifish husbandry, developing and sharing husbandry protocols, sharing laboratory and wild-derived killifish strains and resources for this species
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depends on the collective agreement and personal requirements) All social benefits provided by working for the public service: e.g. an annual bonus, payment of benefits Flexible working time models
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attractive and modern workplace with access to the excellent equipment of the KIT and of the Fraunhofer IOSB, a varied work, a wide range of training opportunities, flexible working time models, an allowance
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study