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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
of produced antibodies using high-throughput approaches Optimizing and standardizing library preparation protocols to ensure high-quality genomic data Collaborating with bioinformaticians to validate sequencing
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13 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Chemistry Computer science Mathematics Physics
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Requirements Requirements: 1. PhD degree in mathematics or physics, conferred within 7 years before joining the project (the extension may be applied according to the rules of the National Science Centre, Poland
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis, scientific computing, and either optimization or machine
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—such as engine load, fuel flow, and environmental conditions—to optimize combustion and propulsion strategies. This dynamic adjustment ensures that hydrogen, with its unique properties like high flame speed
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, scientists with expertise in metabolic engineering, enzyme engineering, computational modelling, and process optimization will work together. By combining microbial strains with synthetic metabolism with
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characterize polymer and dendrimer-based nanomaterials for targeted drug, and gene delivery. Develop and optimize linker chemistries and conjugation strategies for attaching therapeutics, targeting ligands, and
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map