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of electrochemical AFM setup Performing in situ electrochemical AFM studies with electroactive MIP films and NPs Specific Requirements 1. PhD degree in chemical or physical sciences, obtained in the year of employment
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Assistant professor (post-doc) at the Laboratory of Nuclear Proteins at the Faculty of Biotechnology
: 1 Application deadline: 21.05.2026 Expected contest results: June 2026 Envisaged job starting date: 01.09.2026 (tbd) Employment period: 6 months Type of contract: full time Salary: 7296 -7608 brutto
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Research Infrastructure? No Offer Description Employment details: Employment under a 12-month fixed-term contract, with the possibility of extension for a further 12 months Position: Assistant Professor
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will
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knowledge of English, Scientific achievements documented by publications from the JCR list, Teamwork skills, High motivation for experimental work. It is expected that during the period of employment
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use is hindered by poor stability under environmental stressors, including temperature fluctuations, desiccation, and long-term storage conditions. The proposed research aims to overcome
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
(ALS) data and multispectral imagery, methods for spatial data analysis and the use of GIS tools and geospatial workflows, working with environmental datasets, in particular those related to forest
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Skills/Qualifications 1. PhD in mathematics or in a related discipline, obtained not earlier than twelve years before the year of employment (accounting for parental and other long-term leaves according
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degree to 7 years (counted by considering the year of graduation and the year of employment in the project). This period can be extended by documented periods of long-term sickness leave or parental leave
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, physics, and genetics. Here's how it works: We can analyze hundreds of thousands of bacteria at once, like taking a giant fingerprint of their DNA and genes. We use special labels to track each bacterium