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transplantation. We are looking for a highly motivated candidate with a PhD degree interested in using microbiological methods with the aim of developing novel strategies to improve bone marrow transplantation and
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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research. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Provide guidance, as required, to support staff and any students who may be
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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assigned by the Director of the LEO Dr. David P. Chan Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science
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We are looking for a candidate who has completed or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling
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, including 35 PhD students and 15 postdocs, in 25 research groups, work at DEEP. More information about us, please visit: the Department of Ecology, Environment and Plant sciences . Project description
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 22 days ago
(PhD) in psychology, health sciences, or comparable fields of study Experience in the prevention of mental illness or in psychosocial care Familiarity with methodological requirements and procedures
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on bipolar solid state Na-ion cells fabricated as part of this project. Qualifications • Have completed PhD in Mechanical Engineering or Chemical Engineering or Materials Science & Engineering or
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and