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Field
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. Our research combines computational chemistry, cheminformatics, bioinformatic and AI to design new molecules and enzymes for unprecedented catalytic functions. In this project, you will: Develop
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, bioinformatics NUMBER OF FULL-TIME POSITIONS: 1 ANNOUNCEMENT DATE: 25.03.2026 DEADLINE FOR SUBMISSION OF TENDERS: 27.04 - 08.05.2026 Link to the website http://sbip111.lo.pl/artykul/konkurs-na-stanowisko-adiunkt
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, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages. Applications should contain a description of research interests (e.g. as part of the cover letter), a detailed CV (with exam
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techniques and specific skills in assay development, enzyme kinetics, DNA library generation, structural biology, organic synthesis, high-throughput screening, mechanistic enzymology, bioinformatics and
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Establish predictive pipeline for transfer learning and drug target discovery Apply models on pathogen and immunological datasets Provide bioinformatics support to other BNITM groups Contribute to teaching
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on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board! The position is based at the Institute of Medical Informatics within the bioinformatics service unit of the
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drug synergy research with an industry partner. Qualifications An MS in computer science, data science, computational biology, or bioinformatics with a heavy focus on machine learning and AI model
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different odour blend treatments. Perform essential laboratory work (e.g. RNA extraction, library preparation) Carry out bioinformatic analyses to analyse multi-omics data gene-expression data with epigenetic
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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* in Evolutionary Biology, Microbiology or similar areas, have specialised skills and/or expertise in Bioinformatics or associated fields, and fully comply with the following requirements: The PhD must