Assistant Professor (Adjunkt) - The Field of Exact and Natural Sciences - Biological Sciences
Assistant Professor (Adjunkt) - The Field of Exact and Natural Sciences - Biological Sciences
NCU - Nicolaus Copernicus University
Toruń, Poland
Description (field, expectations, comments):
The competition is open to persons who meet the conditions set out in Article 113 of the Act of 20 July 2018 - Law on higher education and science (Journal of Laws of 2018, item 1668) and the following qualification criteria:
Requirements:
- PhD in biophysics, biology, biotechnology or related field (received up to 7 years before signing the employment contract under the project);
- documented scientific achievements in the form of peer-reviewed articles in JRC journals;
- fluent English, spoken and written, enabling efficient communication and preparation of scientific articles;
- strong motivation for scientific work and assimilation of new knowledge and technical skills;
- good interpersonal and communication skills, to be able to work in a multi-cultural environment both independently and as a part of a team.
Would be appreciated skills in the field of:
- botany, plants growth skills, monitoring samples development, histology for microstructural analysis;
- using atomic force microscope in biological samples, analysis and interpretation of results;
- good skills to analyse and quantify cell’s ultrastructure through image analysis and microscopy techniques (e.g. fluorescence, confocal, SEM, TEM) molecular biology, biochemical and analytical methods;
- experience in plant cell wall’s role in plant development and environment interaction;
- skills in statistical analysis and in the development of mathematical models through criteria selection and multivariate discriminant analysis.
Description of tasks:
- participation in research work under the NCN SONATA-17 project “Disentangling the salt-responses of functional traits: the Salicornia europaea model”;
- Post-doc will be in charge of plants growth under salt treatments, monitoring samples development, histology of the samples for microstructural analysis, biochemical analysis, setting the best parameters for image acquisition, pre-processing, segmentation and extraction of parameters. Development of proper sample preparation and fixation for AFM analysis and fluorescence techniques. Data analysis and statistic correlation in terms of salt adaptation. Development of criteria selection model for those plants that show the best adaptation under high salinity and he/she will be in charge of proposing correlative model that integrates AFM measurements with polymeric components arrangement in cells among other traits. Writing of publications.
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