This job is no longer available.
You can view related vacancies or set-up an email alert notification when similar jobs are added to the website below.

Wordpress Website Designer

£35,236 - £35,236
 

Job Description

“Beyond 1932” is an ERC/UKRI research project based at King’s Music Department under the lead of Professor Martin Stokes which explores the sonic legacy of the 1932 Arab Music Congress. The Beyond 1932 team is looking for a student with website design experience (specifically Wordpress experience) to help design and create a dynamic, interactive website for the project. The job will involve initial meeting(s) with the team to discuss our requirements; creating the Wordpress website and populating it with content we provide; progress meetings with the team to discuss changes; creating subsequent draft(s) of the website.



We anticipate the job will be approximately 15-30 hours in total, and will need to be completed in June 2024.



Payment is £18.07 per hour and timesheets will be submitted via King’s Talent Bank. Registration to King’s Talent bank is necessary to apply for this role.



Please note this job is only open to current KCL students and KCL alumni (not external candidates). 



If you are interested in applying, please email Sophie Frankford at sophie.frankford@kcl.ac.uk with a paragraph outlining your experience and motivation to get involved, and a link to any examples of your previous website design work. The deadline for applications is 5pm, 25th May 2024.



 



 



Qualifications

N/A



Skills

Essential criteria




  • Experience with Wordpress website design

  • Ability to work as part of a team and communicate clearly



 



Desirable criteria




  • Arabic language proficiency 

  • An interest in music of the Middle East and North Africa 

MORE JOBS LIKE THIS

About the Role:

We are seeking a highly motivated Research Assistant to contribute to the development of a medical timeline builder using Large Language Models (LLMs). This project aims to extract and organize temporal information from clinical narratives to construct structured medical timelines that enhance clinical decision-making and patient care. The successful candidate will work at the intersection of natural language processing (NLP), clinical informatics, and AI-driven healthcare applications.

Key Responsibilities:

  • Data Processing & Annotation: Preprocess and structure clinical text datasets (e.g., i2b2, MIMIC) for training and evaluation.
  • LLM Fine-Tuning & Evaluation: Fine-tune state-of-the-art LLMs for temporal information extraction and reasoning in clinical texts.
  • Pipeline Development: Develop and implement a two-stage LLM-based framework for extracting temporal references and constructing medical timelines.
  • Model Benchmarking: Design benchmark datasets and evaluate models on clinical temporal reasoning tasks.
  • Visualization & Integration: Assist in integrating timeline generation results into interactive visualization toolsfor clinical use.
  • Collaboration & Dissemination: Work closely with interdisciplinary teams, including clinicians and AI researchers, and contribute to publications and conference presentations.


Qualifications

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or a related field.



Skills
  • Programming Skills: Proficiency in Python, with experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Machine Learning & LLMs: Understanding of deep learning, LLM fine-tuning, and model evaluation techniques.
  • Clinical NLP Experience: Familiarity with medical text processing, clinical terminologies (e.g., SNOMED, UMLS), and temporal reasoning in healthcare.
  • Data Handling: Experience working with structured and unstructured clinical datasets (e.g., i2b2, MIMIC-III).
  • Research & Communication: Strong analytical skills, ability to conduct literature reviews, and contribute to academic writing.
  • assisting in conducting research activities related to computer vision, including literature reviews, data collection, experimentation, and analysis
  • assisting in the development and implementation of computer vision algorithms, including image processing, object detection, recognition, segmentation, and tracking
  • preparing and annotating datasets for training and evaluation purposes, ensuring data quality and relevance to research objectives
contributing to the solution in a form of software tools and frameworks for computer vision research, using programming languages such as Python or C/C++
  • assisting in the analysis of qualitative and quantitative data, as directed.


Qualifications

N/a



Skills
  • Some prior experience and strong interest in the subject of Computer Vision
  • Understanding of deep learning frameworks (e.g., TensorFlow Keras, PyTorch) and some proficiency in training convolutional neural networks (CNNs) for computer vision tasks.
  • Familiarity in training deep learning models using preprocessed and augmented datasets, monitoring model performance and convergence during training.
  • Practical knowledge in utilizing programming languages relevant to machine learning, deep learning and computer vision (Python 3.4 and above is an absolute must).
  • Experience working with video / image data, including data preprocessing, annotation and analysis using popular libraries (e.g. OpenCV)
Knowledge of common evaluation metrics for assessing model performance in computer vision tasks, such as accuracy, precision, recall, and F1 score.
  •  Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

    ?    assisting in conducting research activities related to computer vision, including literature reviews, data collection, experimentation, and analysis
    ?    assisting in the development and implementation of computer vision algorithms, including image processing, object detection, recognition, segmentation, and tracking
    ?    preparing and annotating datasets for training and evaluation purposes, ensuring data quality and relevance to research objectives
contributing to the solution in a form of software tools and frameworks for computer vision research, using programming languages such as Python or C/C++
    ?    assisting in the analysis of qualitative and quantitative data, as directed.



Qualifications

N/a



Skills

    ?    Some prior experience and strong interest in the subject of Computer Vision
    ?    Understanding of deep learning frameworks (e.g., TensorFlow Keras, PyTorch) and some proficiency in training convolutional neural networks (CNNs) for computer vision tasks.
    ?    Familiarity in training deep learning models using preprocessed and augmented datasets, monitoring model performance and convergence during training.
    ?    Practical knowledge in utilizing programming languages relevant to machine learning, deep learning and computer vision (Python 3.4 and above is an absolute must).
    ?    Experience working with video / image data, including data preprocessing, annotation and analysis using popular libraries (e.g. OpenCV)
Knowledge of common evaluation metrics for assessing model performance in computer vision tasks, such as accuracy, precision, recall, and F1 score.
    ?    Knowledge in web frameworks written in Python (e.g. Flask) is desirable but not essential

MORE JOBS LIKE THIS