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· developong new genetic algorithms related to finite element (FE) modeling · presentation of results and their disseminatio The successful candidates must be enrolled in PhD School program
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, and geochemical investigations, including stable isotope and trace element analysis. The position is to be filled not later than on 1st March 2026. Where to apply E-mail m.godzwon@twarda.pan.pl
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                Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 29 days ago
with transition metal and lanthanide ions sensitive to changes in temperature and pressure. Doctoral Student Responsibilities Synthesis of inorganic materials doped with lanthanide and transition metal
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modulator of the hypusination process, a unique modification of the eIF5A factor essential for protein translation. Structure-based studies of protein-molecule complexes and their chemical optimization
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database of available stone raw materials in the region; raw material analysis (using selected analytical methods) of stone artefacts, including quartzite, found at the studied sites; provenance analysis
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environments within NWLs. The results will provide insights into the genetic and evolutionary relationships between species, the functional elements of genomes, and the mechanisms driving genomic diversity and
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on the synthesis and preparation of various layered transition metal-based and hexacyanoferrate-derived positive electrode (cathode) materials for Na-ion batteries. This includes synthesis optimization and
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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for publication in journal with impact factor. Paper should be related with III-nitride semiconductors. LanguagesENGLISHLevelGood Research FieldPhysicsYears of Research Experience1 - 4 Additional Information
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be considered advantageous. - Prior experience in microbiology and electrochemical coating techniques will be considered as valuable assets. - Knowledge on error analysis and statistical data analysis