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He obtained levels through the University of Southern Africa when you look at the sixties and had been the person that is first to be granted a difference for the thesis. He had been selected when it comes to Nobel Prize for Literature. He moved to Zambia in whenever their next novel, The Wanderers, had been posted. He Africanised their title to Eskia in defiance of linguistic oppression, offended as he had been using the main-stream spelling of Africa by having a c, which he thought colonizers of Afrika had made for their very own convenience. He proceeded to create prolifically and established the Ebony Education and analysis Centre in Soweto. The volume that is second of autobiography, Afrika My musical, had been published in His legacy lives on through their works additionally the Eskia Institute.
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With the increasing amount of data collected in various domains, the importance of data science in many disciplines, such as transportation, spatial planning and environmental engineering, has been increasing. It is crucial to go beyond the state of the art and this implies not simply applying machine learning methods that are borrowed from other domains, but also developing them further and driving the field from the application point of view. From the methodology side, there are many commonalties between different disciplines and there are also a lot of common needs in terms of empowering doctoral students who are typically experts in their special fields but not necessarily machine learning specialists to perform data science related tasks at the highest scientific level and solving the challenges in their pertinent discipline. The goal of the platform is to establish a strong cross-disciplinary data science platform prompting visibility to the broader scientific community and public particularly to potential students and doctoral students. The goal of the platform is to connect cross-disciplinary researchers at the department on the methodological level and strengthen doctoral students and junior researchers in the machine and deep learning methodology. By strengthening these interdisciplinary skills, research output can be enhanced and accelerated.
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Most entrepreneurial-minded leaders in academics, industry and society owe a significant portion of their personal and professional impact to the guidance of strong mentors. The programme aims to enhance the academic, professional, and personal experiences of D-MTEC Master's students and alumni. Through this effort, ETH MTEC hopes to develop innovative future leaders and to inspire a community of mentors, spanning multiple generations of students.
Oncobit is a UZH-spin-off, developing novel diagnostic and monitoring tests to provide the best cancer treatment for each patient and enable personalised cancer care. These tests work by capturing molecular features of the tumor through analysis of the blood or tissue biopsies. Oncobit focuses on the test design and the data analysis and interpretation. You will be working in an interdisciplinary team to develop software that processes molecular data, organizes medical data in a knowledge database and supports cancer specialists in authoring detailed clinical reports. Your work will directly help to convert the latest scientific findings into improved treatments of cancer patients.
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