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or equivalent Skills/Qualifications Doctorate (PhD) in science or engineering, preferred in Physics, Mathematics, Electronics or Computer Sciences; experience in deep learning modelling or research (theoretical
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The research topics will be related to the implementation of the project: Multispectral fluorescence supported by machine learning for the analysis of cell cocultures. The scientific goal of the project is to
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activities in accordance with the university's regulations working in research and teaching teams in the area of machine learning and signal analysis developing signal processing methods developing machine
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scientific research in the field of image processing and machine learning; 2) publishing research results and participation in scientific conferences; 3) conducting didactic classes and preparing teaching
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reality, computer simulation, 14. DESCRIPTION (field, expectations, comments): The candidate for this position should be prepared to teach in the area of applied computer science, especially in the subjects
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to addressing considerations like compositionality that we know to be at the heart of the differences between quantum and classical theories and phenomena; machine learning techniques, in particular
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their implementation on team members. Highly developed analytical, negotiation and organisational skills. Computer literacy in office software (Microsoft Office) and use of online databases. Commitment and
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Additional Information Additional comments RESEARCH FIELD- Machine learning- PhD or equivalent Work Location(s) Number of offers available1Company/InstituteWarsaw University of Technology Faculty
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experience in R&D and industrial projects. 5) knowledge of database systems (Oracle, MySQL, MS SQL Server) confirmed by experience in industrial projects. 6) knowledge of Machine Learning techniques, including
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/Qualifications QUALIFICATION REQUIREMENTS: minimum PhD degree in the discipline of biological sciences or in the related discipline, experience in conducting research in the discipline of biological sciences