Wordpress Website Designer

•     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.

N/a

• 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

I want support with developing a protortype for an app that can help record people entering and leaving a room. This will be used using the developed app which will be connected to an NFC tag to record who has entered a lab space, similar to the solution provided here. 

- Develop the app

- Connect it to an NFC tag

- Develop reporting mechnism

A qualification or reelvant expecrience in IT, primarily app devleopment

- App development, primrily trhough MS Power apps

- System development nderstanding

- Experience using Microsoft 365 suite

- 

We are looking for a highly organised and motivated Clinical Trials Administrator. You will be joining the Quality Team, who are a friendly team of Clinical Research Associates. The main purpose of this role is to:

• Assist the Quality Team to ensure that all trials sponsored or co-sponsored by the partner organisations are conducted in accordance with the Clinical Trial Regulations and the KHP CTO SOPs.


• Provide day to day admin and support to the Quality Team to assist Investigators conducting clinical trials sponsored by the partner institutions ensuring they are working to the highest quality standards.


• Perform File Reviews and conduct archiving of trial documents for the KHP-CTO.


• Provide logistical, practical and administrative support as required according to KHP-CTO SOPs, prevailing regulations and best research practice.

This is an office-based role at Guy’s Hospital with some regular travel across London to our various sites and campuses.

NA

1. Educated to GCSE-level or equivalent


2. Able to learn and work to SOPs


3. Strong planning and organisational skills including the ability to prioritise and manage multiple tasks


4. Excellent interpersonal skills – tactful and able to deal with a wide range of people in an enthusiastic and helpful manner whilst being capable of firmly maintaining policies and regulations.


5. Problem solving skills – pragmatic and flexible approach whilst maintaining policies and regulations.


6. Strong computer skills (proficient with MS WORD, Excel and web-based applications).


7. Experience acquired in administration role(s), preferably in either a pharmaceutical industry or clinical research setting, including specific experience of clinical trial administration.


8. Excellent verbal and written communication skills with the ability to demonstrate exceptional attention to detail.