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Field
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
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University (junior and senior students are preferred) Good academic standing (GPA above 3.3). Preferred Experience Strong programming skills, preferably in Python, C, or C++, or a willingness to learn these
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related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
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the ability to analyse experimental data using Python, MATLAB, Origin, Excel, or similar tools. Good laboratory discipline, safety awareness, record keeping, teamwork, and communication skills. Entry-level
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research
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and quantitative analysis in MATLAB and Python, with shared code or analysis pipeline, and demonstrated readiness to lead independent research, mentor trainees, collaborate across engineering and
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Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website
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management, critical and analytical thinking, precision, and focus. Desirable: Expertise in respiratory, audio or sleep signal analysis and modelling Knowledge of Matlab, Python, and/or R and tools and