62 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in Hong Kong
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) Country Hong Kong Application Deadline 18 Oct 2025 - 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
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, Hong Kong [map ] Subject Areas: Quantum Science & Engineering / Physics Materials Science / Computational Physics / Condensed Matter Theory Appl Deadline: none (posted 2025/11/04) Position
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(R1) Country Hong Kong Application Deadline 14 Oct 2025 - 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
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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. Qualifications a) Education: Ph.D. in Automation, Industrial Engineering, Systems Engineering, Computer Science, or a closely related field. b) Technical Skills: Strong programming proficiency is required. c
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track