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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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surface-emitting lasers with MHCG subwavelength diffraction grating mirrors): • Optimization by means of computer simulations of MHCG mirrors, • Finding the best strategies for efficient heat flow in
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candidate, as set out in the Statue of the Silesian University of Technology, estimated work starting date: no later than 01.09.2026 (flexible), workplace and type of contract: Faculty of Chemistry
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/RecruitmentForm.aspx?WebID=0551ff7b2… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Additional Information Benefits The estimated gross salary is ca. 9 500 PLN/month. II
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University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu) | Poland | about 1 month ago
teaching in the field of computer networks, system and network security, cybersecurity of IT systems, and security of cloud systems and services, 4) the ability to work effectively in a team, 5) willingness
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corpus in accordance with ethical principles and using appropriate tools (e.g., API) discourse annotation and analysis concerning selected ethnic groups via computer-based methods the use of embedding
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. • Demonstrable experience in Artificial Intelligence (publications or code development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical
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development; research funding for conferences; collaboration with recognized scientists. To estimate living costs in Kraków, applicants can use tools such as Numbeo (www.numbeo.com ). Social Benefits (ZFŚS
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: chemical sciences Vacancies/positions:1 Type of contract: full time Application deadline: February 12, 2026 Estimated date of the contest settlement: February 2026 Envisaged job starting date: February 2026
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aims to compare the optimality of the various quantum network setups and protocols, estimate their cost, and design more optimal solutions if needed. The candidate as the key member of the DIFFQRN