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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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For Doctoral Researcherposition: MSc in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. For Postdoctoral Researcherposition: PhD in Applied Mathematics, Engineering Physics
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, circulation) is encouraged. You are prepared to teach a methodology course or workshop on contemporary history and media. We expect: Completed doctoral/PhD thesis in history or another cultural or social
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(approximately 1 course per semester for MA and PhD students within the research interest of the post holder), Conduct innovative and impactful research that pushes the boundaries of the field, collaborating with
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forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject
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-term persistent infections, as well as on newly emerging variants of concern (VOCs). We are seeking a highly motivated candidate that has obtained (or will obtain soon) a PhD in a relevant subject (i.e
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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presentations to stakeholders where appropriate. ¿ To identify and engage in personal development opportunities to support your career development. You should have a PhD in nutrition, public health
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/PhD studies in the field (foundations of) education, history of education or philosophy of education Outstanding dissertation Research competence and initiative proven through international publications
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-luminosity LHC. You will provide support to our PhD students and contribute to the broader activities of the group and the school. About You You will have completed or be about to complete a PhD or research