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experiments assessing zooplankton–cyanobacteria interactions., Learn to prepare samples for mass spectrometry analysis, Bioactivity guided fractionation and isolation of the cyanopeptides Collaborate with
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assessing zooplankton–cyanobacteria interactions., Analyse cyanobacterial morphology using microscopy, Learn to prepare samples for mass spectrometry analysis, Assess strain-specific effects of zooplankton
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advanced microscopic imaging and flow cytometry with imaging. It is not necessary to master all of these techniques, as this project will be carried out in cooperation, but there is an opportunity to learn
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, Python)—knowledge of machine learning/data science is a plus; Excellent communication and collaboration skills in an interdisciplinary and international environment; Fluency in English (oral and written
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opportunity to learn more about them. The knowledge gained will be crucial for the development of cell and gene therapies for people with diabetes. The laboratory is located in Poznań at the Institute
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required. To learn more about our work, Check out these recent publications on PubMed: PMID: 33657251 PMID: 30681766 PMID: 30004612 PMID: 26608863 In this role, you’ll be based at our Newcastle Upon Tyne
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
, · will to work in an international environment which requires good communication skills in the English language both spoken and written, · ability to learn new technologies and to work in a dynamic
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Postdoctoral Researcher to join the group under the LEARN and iCare projects. Job Duties The job duties will be the following: Design and conduct experiments to investigate how environmental chemicals and
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; b. Indexed publications in the field of this call. b) Preferential factors: a. Knowledge in Artificial Intelligence and Machine Learning. Workplan and objectives to be achieved: The BIPD
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biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential machine learning applications. Position Objective