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interpersonal skills. A commitment to gaining practical experience working on a research project. Ability to work well within a team. Desirable Criteria Programming or modelling experience (e.g. Python, MATLAB
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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Computer Engineering, Computer Science, or a related field. - Solid programming skills (e.g., Python, C/C++, MATLAB). - Knowledge or strong interest in at least one of the following topics: Image/video
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chemical analysis using ICP-MS methods including ion exchange chromatography and clean lab digestion techniques. Programming in Matlab, C++, R or Python. Experience in laser ablation analysis by ICP-MS and
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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++ Language
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. Qualifications and Experience BSc and MSc Degree in Computer Science or Computer Engineering, or relevant field; Strong computer programming skills (e.g., Python, Matlab) are a must; Proven data analysis skills
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and