10 algorithm-development-"The-University-of-Edinburgh" positions at Silesian University of Technology
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, supported by the FNP FIRST TEAM grant no. FENG.02.02-IP.05-0263/24 and implemented in collaboration with the University of Groningen, we aim to develop advanced, personalised skin models that closely mimic
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Education; 2) participation in developing the course curriculum, 3) at least 7 years of experience in a teaching position; 4) knowledge of Polish and English sufficient to conduct classes. Additional
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) scan of the master degree diploma, 3) candidate's CV, 4) information and statements about scientific, creative, didactic, organizational and other achievements, 5) individual development plan, 6) opinion
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to develop advanced, personalised skin models that closely mimic the three-layered architecture of human skin: epidermis, dermis, and subcutaneous adipose tissue. The project will focus on the functional
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, supported by the FNP FIRST TEAM FENG grant no.FENG.02.02-IP.05-0263/24 and conducted as a double doctorate in collaboration with the University of Groningen, we aim to develop advanced, personalised skin
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supervisor – on a candidate's predispositions to work as a research and teaching employee. The University offers: 1) employment contract for a period of 10 months, 2) individual development in pro-quality
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significant scientific achievements; 3) opportunities for further professional development in research and teaching; 4) opportunities to participate in scientific programs and projects; 5) opportunities
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) substantive support from staff with significant scientific achievements; 3) opportunities for further professional development in research and teaching; 4) opportunities to participate in scientific programs
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to develop advanced, personalised skin models that closely mimic the three-layered architecture of human skin: epidermis, dermis, and subcutaneous adipose tissue. The project will focus on the functional
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to their limited functionality, poor integration, and inability to fully replicate the complex structure and physiology of native skin. Therefore, in this project, we aim to develop advanced, personalised skin