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of scientific programming, particularly using languages such as Python or IDL, will be highly advantageous. You will be an organised and motivated researcher with excellent problem-solving skills and the ability
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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understanding of deep learning methods applied to image and language data. Proficiency in Python or another object-oriented language (R, Julia). Proficiency in at least one deep learning framework (PyTorch, JAX
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SPSS or similar software and preferably also with R, Matlab and/or Python Excellent oral and written communication skills Excellent organizational and time management skills Relevant education and
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programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications
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technologies ● Experience with scripting and automation (e.g. Bash, Python) ● Knowledge of storage systems and backup/archive procedures ● Strong troubleshooting and systems integration
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-reviewed international journals (SSCI-listed or equivalent) strong skills in quantitative data analysis using R (or Python or Stata) Experience with survey data, macro-level data, or text-as-data is an
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Practice, NLP and linguistics analysis Good written and oral communication skills (if applicable) Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling Competent in soft skills
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for causal inference using software such as R, Python, or Stata; (30%) Assist in preparation of research outputs, including figures, tables, reports, and academic manuscripts; support replication and
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(Qualtrics), and student information systems (Workday). Experience with IT Service Management (Team Dynamics) and iPaas. Experience with Linux, as well as PHP, Python, cURL, and SQL programming w/version