469 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in Singapore
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Requirements: Candidates should have a PhD, and/ or MD, or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills. Self-motivated and well-organized with
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. Analyse and evaluate the performance of proposed methods under a range of scenarios, including worst-case and average-case models. Job Requirements PhD in Mathematics, Computer Science, or a closely related
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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Requirements: PhD (for Research Fellow) / MSc (for Research Associate) in Biochemistry, Molecular Biology, Structural Biology, Biotechnology, or a closely related field. Practical expertise in protein expression
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tutorials. Assist in mentoring and guiding students in projects and competitions. Job Requirements: MSc/Meng (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, or other
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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. Competencies and Educational Requirements: PhD in Biomedical Engineering, Biochemistry, Biology, Chemical Engineering, Pharmaceutical Sciences, or a related field. Strong background in molecular biology and
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to multi-task and embrace change in an extremely fast-paced environment. Education Requirements PhD in synthetic biology, biomedical engineering, biochemistry, biomolecular engineering, or other related
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. Requirements PhD in Life Sciences, Biomedical Sciences, or a related discipline. Strong track record of research productivity, including first-author publications. Proven ability to work independently and lead