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PhD in the above subject area and a proven track record of productivity. Experiences in microscopy, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533004 Work type: Full-time Department: School of Biomedical Sciences
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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution
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subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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measurements of indoor environmental quality (IEQ), energy simulations, and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct research independently
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Kong Application Deadline 9 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job