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) Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 11 Oct 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Staff Scientist / PostDoc – Machine Learning for Scientific Applications You
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: Develop and optimize multistep synthetic routes for new small molecule fluorophores and bioactive ligands for multimodal microscopy applications. Apply drug-discovery models, molecular docking simulations
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University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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range of protein design and enzyme engineering projects. In addition to method development and data analysis, the RS3 provides extensive training for graduate students, postdocs, and other researchers
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biomarkers and quantitative imaging methodologies. Job Description: Job Duties Outlined: Research Overview: Work with PI/faculty mentor to develop, optimize, and apply advanced preclinical imaging techniques
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» Biochemistry Chemistry » Applied chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Nov 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract
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» Biochemistry Chemistry » Applied chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Nov 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract
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such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will place particular