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application and machine learning. • Author of at least 2 research papers in topics related to the project. • Knowledge on advanced control systems and optimization (please attach a description of your
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 22 hours ago
. The resulting data will be used to train a machine learning algorithm to predict the pressure-induced variation in the luminescent properties of phosphors co-doped with Cr3+ and Mn4+ ions based on the structural
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qualifications Experience in one or more of the following areas will be considered an advantage: RNAseq analysis pipelines, systems biology, modelling biological processes, or machine learning approaches, redox
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of employment: full-time Date of announcement: 20th February 2026 Deadline: 22nd March 2026 Key words: security studies, aviation safety, armed forces development. Applicants are obliged to meet the conditions
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supporting the University's marketing activities and building relationships with the socio-economic environment Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID
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activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate in silico identification of optimal catalyst–substrate–conditions combinations and the
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project offers a unique opportunity to be at the forefront of cutting-edge research that combines organic chemistry, polymer science, and machine learning. Our goal is to develop abiotic enzymes—synthetic
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and English will be an additional advantage; especially in the areas of: biocybernetics, deep learning, image analysis, image navigation, programming and computer graphics 6) completed a foreign or
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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available1Company/InstituteFaculty of Mathematics and Computer ScienceCountryPolandGeofield Contact City Lodz Website http://iso.uni.lodz.pl/ Street Narutowicza 68 Postal Code 90-136 E-Mail sekretariat