Technician

Job Description

We are looking for a Technician to support our Biochemistry, Genetics and Forensic Science practical classes at the Waterloo Campus. Duties will include the following:

-Being part of the team responsible for organising the running of practical classes.

-Help with setting up and clearing the labs.

-Demonstrate and troubleshoot laboratory equipment, ensuring safety and reliability.

-Washing up of glassware and autoclaving media.

-Restocking lab consumables such a tips, tubes, gloves, etc.

-Ensure compliance with health and safety regulations, including the safe disposal of hazardous materials. Induction training on laboratory procedures/hazards will be given.



Qualifications

Minimum level 3 qualification e.g. A levels, AS levels, International Baccalaureate, or other level 3 qualification, plus work experience in a relevant technical/scientific post. 



Skills

-Experience of practical teaching either as a student or technician.

-Basic lab skills such as pipetting, making solutions/buffers, plate pouring.

-Basic molecular biology skills and knowledge.

-Good communication skills.

-Willing to learn.

-Good organisational skills and ability to work to deadlines.

-An awareness of Health and Safety governing area of work, particularly in relation to laboratory waste disposal and recycling.

MORE JOBS LIKE THIS

To provide practical and emotional support to assist a student on the autism spectrum in taught sessions (lectures, seminars and labs). To support the student with explaining tasks and providing mutual regulation strategies that will ensure widening participation and access, academic progress and student retention in compliance with the Equality Act and the mission of Student Services.

This role is 9.5 hours a week distributed as below:

  • Monday 2.5 hours: 10-11am; 12-1pm (IT class); 2pm-3:30pm
  • Tuesday 3 hours: 11-1pm; 4-5:30pm
  • Wednesday 1.5 hours: 9- 11am
  • Thursday 1.5 hours: 10-11:30am (lab)

There will be breaks in between taught sessions.



Qualifications

Minimum of 5 GCSEs (or equivalent) at Grade A-C including English and Mathematics - Essential
A level qualifications (or equivalent), or equivalent relevant experience - Essential
Educated to degree level in a relevant field or equivalent experience - Desirable 
Relevant further educational or professional qualifications e.g. Mental Health First Aid. - Desirable
 



Skills

Experience

  • Experience of studying in Higher Education - Essential
  • Knowledge of autism spectrum condition - Desirable
  • Some experience/understanding of providing support for individuals on the Autism Spectrum - Desirable

Skills

  • Knowledge of SCERTS/Autism Spectrum Condition - Desirable
  • Mutual Regulation strategies: e.g. deep pressure techniques, grounding and breathing strategies - Desirable
  • Thorough knowledge of the campus - Essential
  • Awareness of disability issues ? recognising the most effective method of communicating during periods of dysregulation - Essential

Attitude

  • Outgoing; great interpersonal skills - Essential
  • Must be able to work calmly under pressure - Essential
  • Must be able to support and manage fluctuating behaviours - Essential
  • Must be willing to attend relevant training sessions arranged by the Disability and Dyslexia Service - Essential

Other - All essential

  • Flexible working timetable
  • This post is subject to a basic DBS check.
  • The ability to meet UK ?right to work? requirements


     

Job Title:  Digital Fingerprinting Feature Engineering 

Nvidia CSIT Cyber-AI hub intern in feature engineering (up to a maximum of 15 hours per week for 20 weeks). 

The successful candidate will be working as an intern with the Nvidia CSIT Cyber-AI Hub project team on preparing data from multiple sources for AI training. This includes proper data storage, organization, cleaning and feature engineering/preprocessing tasks. 

The candidate will help to improve the current feature selection and engineering process for the development of the behavioral model proposed by the team. In addition, and upon obtaining successful results, the candidate is expected to assist with the integration of the software in the Nvidia Morpheus github page. 



Qualifications

Degree in Computer Science or in a relevant field. 

Have, or be about to obtain an artificial intelligence related postgraduate degree. 



Skills

Essential criteria: 

In depth knowledge of Artificial Intelligent/Machine Learning concepts 

Experience in data management for AI training. 

Understanding in networking and security best practices. 

Strong programming skills (Python) 

Proficient Linux/Windows skills. 

Desirable criteria: 

Experience with ML projects including feature engineering 

Understanding of cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth. 

Knowledge in the MITRE ATT&CK framework and other threat modelling tools. 

Working with the Director of HR Operations, Head of Contingent Workforce and Procurement Directorate, this role will be responsible for sourcing, collecting, organising, analysing and interrogating all recruitment related spend category data. Findings will be reconciled to recruitment outcomes so that the spend can be attributed to contingent worker salaries and fees, agency placement fees and advertising related recruitment costs, with the overall aim to reduce spend on non-permanent agency costs. All data and analysis to be the presented and translated into information and insight that meets the needs of various stakeholders across the university and will contribute to a drive to reduce overall costs.  

 

This is a hybrid position, you will be expected to work in the office 2 days per week. 



Qualifications

None



Skills

The job holder will source and gather data from known/standard sources - manipulating routine data so it can be interpreted by others. They may be required to select the most appropriate procedure, technique or approach to conduct analysis and research, deciding how to undertake the work as well as analysing, identifying, and interpreting trends. The job holder will be expected to have excellent understanding of specialist tools to extract the data needed as well as an advanced knowledge of Excel, Power BI, Tableau etc. 

  •  Work with HR and Procurement teams to investigate and identify all agency and advertising recruitment spend using a variety of systems and platforms. 
  • Work with the Recruitment advisers to ascertain the actual status and outcome of all current vacancies.  
  • Collaboratively work with internal and external stakeholders to investigate and review the data required to complete the objective of reducing agency spend within Kings for non-permanent staff. 
  • Identify activity data for each vacancy advertisement, including views, impressions, applications, shortlisted candidates, and placements, to ascertain value for money and inform future decisions. 
  • Produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner showing usage data and trends to inform future sourcing and hiring decisions.  
  • Create data dashboards, graphs and visualisations 
  • Work with the recruitment team to incorporate data capture and analysis.  
  • Support Manager with data analysis for all activity with all external providers. 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. 

Essential criteria 

​Experience using PowerBI for data analysis and reporting   

​Strong technical skills in data analysis, optimisation, and dashboard creation.  

​Strong analytical skills, with the ability to interpret and synthesise large data sets.  

​Experience of collaboratively working with internal and external stakeholders. 

​Excellent communication and problem-solving abilities.  

​Problem-solving skills with the ability to troubleshoot data issues and improve reporting processes.  

​Strong attention to detail and commitment to data accuracy. 

​Desirable criteria 

​Experience in the higher education sector or a similar environment.  

​Experience working with other data visualisation tools and methodologies. 

MORE JOBS LIKE THIS