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- Lodz University of Technology
- Wydział Matematyki Fizyki i Informatyki UG
- Centrum Badan Kosmicznych PAN
- Czestochowa University of Technology
- Institute of Mathematics of the Polish Academy of Sciences
- Institute of Plant Genetics PAS
- Nalecz Institute of Biocybernetics and Biomedical Engineering
- National Centre for Nuclear Research
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Field
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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the territory of Poland. Documented experience in conducting research in microbiology, mycology or molecular biology. Experience in either library preparation and optimization for next generation sequencing
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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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work will consist of selection of optically compatible dyes for the donor-acceptor system and its further optimization (incl. concentration, component ratio, solvent used) to ensure the desired optical
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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
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. The studied autoinducers include derivatives of acyl-homoserine lactones and 2-heptyl-3-hydroxy-4-quinolones. Candidates should have skills for: Optimization of molecularly imprinted polymer (MIP) synthesis
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applications for the position of at the Faculty of Mechanical Engineering Research Assistant Professor (POST-DOC) under the NCN project No. UMO-2024/53/B/ST8/02908: “Optimization of hydrogen oxy-combustion and
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an optimal, least costly way. The candidate as the key member of the DIFFQRN project will conduct scientific research, contribute to writing publications, and present obtained results at conferences and
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. Strong practical skills in high-performance computing (HPC) environments, including job scheduling and performance optimization on computing clusters. Knowledge of Bayesian statistics and its applications
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. Developing a software tool for defining and optimizing the geometry of the X-ray spectrometer. Supporting work related to developing the concept of the planned instrument and modeling its spectral response