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Health Education Supervisor: Johannes Carl PhD programme in Sport Science Preferred Start date: 01/11/2026 For 1 & 2: The employment duration is 4 years. Initially limited to 1.5 years, the employment
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equivalent to the one awarded by Portuguese universities; 1.2) If the selected candidate do not have yet the equivalence or recognition or registration of his/her PhD degree, he/she must obtain the recognition
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as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in
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Program, as well as pathology residents and medical technologists, and conduct clinical and translational research. Prior to the start of employment, qualified applicants must have an MD, DO, or PhD. MD
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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the position of Assistant Professor (F/M) within the research staff of the Department of Organic Chemistry at the Faculty of Chemical Technology and Engineering, as the primary place of employment. Eligibility
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the department, see https://integrativebio.utexas.edu/ . Equal Employment Opportunity Statement The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? Work description The PhD positions are part of the research portfolio within Mechanical Engineering
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating