72 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at National University of Singapore
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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, LSTMs, transformers). - A strong foundation in statistics and strong programming skills are also required. - Familiarity with academic teaching at the postgraduate level. Skills: - The candidate should be
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2025. Duties • Fellows will develop and implement a coherent specimen-based research programme that will advance knowledge and understanding one or more groups of tropical Southeast Asian terrestrial
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and coordinate the overall progress of the project. He/She will plan, design and perform experiments, including but not limited to cell culture, qRT-PCR, transfection, western blotting, flow cytometry
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aspects of quantum theory. Alongside with their CV and two reference letters, the candidates should submit a convincing research plan. The position is initially available for 1 year, with possibility
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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team environment. Application Interested candidates should submit an application comprising: 1) a letter of interest with details of their research experience, interest and future plan (1-2 pages), 2) a
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studies. Existing research work in CALS-related areas will be considered favourably. The applicant should submit a one-page research plan proposal for consideration. 3. The candidate will be expected
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track