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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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understanding and proven ability to modern approaches of molecular cell biology You have experience in genetic engineering of metazoans (e.g. Cripsr-Cas9 editing of tissue culture cell lines) You have experience
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
of machine learning and AI algorithms and methods. Knowledge of species distribution models. Catalan and Spanish are valued LanguagesENGLISHLevelGood Research FieldOtherYears of Research Experience1 - 4
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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networks (LessIsMoreModel) The postdoctoral researcher will carry out scientific experiments in the organism Oikopleura dioica with the aim of understanding heart development. The tasks will include genetic
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23 Sep 2025 Job Information Organisation/Company Universitat de Barcelona Department Genetics, Microbiology & Statistics Research Field Biological sciences Researcher Profile Recognised Researcher
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networks (LessIsMoreModel) The postdoctoral researcher will carry out scientific experiments in the organism Oikopleura dioica with the aim of understanding heart development. The tasks will include genetic