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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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field. • Publication record demonstrating expertise in relevant experimental techniques. • Proficiency in molecular, biochemical, and cell biology methods. • Excellent organizational, analytical, and
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 3 hours ago
, depending on the discipline) Research Experience and Competence Alignment with the project’s topic Familiarity with relevant tools, methods, and techniques Soft and Organizational Skills Communication and
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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strong background in textiles and understanding of textile functionalization methods. You have excellent communication, collaboration, and interpersonal skills and fluency in English (written and spoken