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- Adam Mickiewicz University, Poznań
- Jagiellonian University
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- Adam Mickiewicz University
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Description KEY WORDS: Medicinal chemistry, “Hit to lead” – molecules optimization, Chemoinformatics, Bioinformatics, Data analysis, Machine learning, Artificial intelligence Recruitment to Laboratory
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the interfacial transition zone, - adjustment of rheological properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, - deep learning modeling
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in glasses. The topics range from materials’ deformation to machine learning approaches and we are interested in particular in complex metallic glasses. Some recent example publications are: .Phys
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, electrical conductivity of composites FEM modeling, optimization, machine learning, and evolutionary algorithms * extensive knowledge of composites and conductive composites * programming skills (MATLAB, Python) and
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cognitive and brain sciences, quantum computing, artificial intelligence and machine learning. The initial appointment is for two years with a possible extension for a third year depending on performance and
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of statistical data analysis methods and potential application of machine learning techniques. Good command of English (B2/C1). LanguagesENGLISHLevelGood Research FieldPhysics Additional Information Benefits
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article in the subject of DNA origami will be an advantage, demonstrate willingness to learn new techniques, meticulousness in lab work and keeping data record, have a self-development attitude and desire
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influence the assessment We offer: good learning environment. support of an experienced team external and internal trainings in hard and soft skills as well as participation in conferences personal and
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; Development of models to describe forest condition based on environmental data and stand parameters using various statistical/machine learning methods; involvement in dissemination activities; publication
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interpreting conditions. The interpreting output will be evaluated using artificial intelligence-based tools. This will help us learn 1) how interpreters' brains respond to different levels of text difficulty