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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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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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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
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representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline for submitting applications: 20 February 2026 Required
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or information and communication technology, 2) experience in teaching, 3) experience in machine learning, deep learning, particularly in the application of biomedical data processing, 4) experience in processing
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seminars, MA seminars and/or specialist classes. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be
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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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The Franciszek Górski Institute of Plant Physiology Polish Academy of Sciences | Poland | about 2 months ago
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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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