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: • PhD (or nearing completion) in optics, photonics, physics, electrical engineering, or a related field. • A record of high-quality publications with evidence of contribution to the writing
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You For Level A Applicants will have completed or be near completion of a PhD in quantitative genetics, animal breeding, computational biology, or a related field. Additionally, you will demonstrate
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contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably uploaded as a separate attachment, maximum 4 pages) transcripts and diplomas. If you have
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Requirements 1. Holds a PhD degree in chemical engineering, chemistry, materials science, physics or related fields with a good publication record. 2. Prior research experiences in the following areas
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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applicant's research interests and motivation for applying for the position. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably
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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including
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Partnership Training (APT): A programme of work to co-design and evaluate the effectiveness of training a person with aphasia and their communication partner to communicate better together” (NIHR Number: 208121
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the recruitment process. To Be Successful You Will Need Level ARAS Relevant tertiary qualifications and demonstrated experience in transcriptomic data analysis and relevant methodologies (e.g. RNA-seq, clustering
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Requirements 1. Holds a PhD degree in chemical engineering, chemistry, materials science, physics or related fields with a good publication record. 2. Prior research experiences in the following areas