1,842 data-"https:"-"https:"-"https:"-"https:"-"Babes-Bolyai-University" Fellowship positions
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applicable, desirable criteria listed in the Candidate Information on our website. This post is available for 18 months. Fixed term contract posts are available for the stated period in the first instance but
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clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. Fixed term contract posts are available for the stated period
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, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication of the results. This will involve
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Deng’s lab, please visit here. As a successful candidate
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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bias, and move beyond a neutral scientific view to acknowledge historical context. Specifically, your role will involve leading qualitative data collection and analysis across different phases
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of Paediatrics at the University of Oxford. The goal of our research is to understand the information that shapes the complex physical architecture of the heart wall, and how it can be disrupted to produce
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context