LJMU Events and Appointments

This session will give you an overview of using LinkedIn as a researcher, with examples of how you can use LinkedIn to connect with others, follow other research organisations and use LinkedIn Learning. There will be live demonstrations and plenty of time for questions.

Enrol on our Library Researcher Engagement Canvas page to access slides, recording and notes.

In this session, we will explore , the key features of major data repositories, including Archaeology Data Service, Dryad, UK Data Service, NERC Data Centres, LJMU Data Repository, Zenodo, and Figshare. We will look at the differences between general-purpose and discipline-specific repositories—and how to choose the right one for your research. Talk about licensing, access, and potential costs associated with data deposit and reuse and best practices for ensuring your data remains FAIR (Findable, Accessible, Interoperable, and Reusable).

This workshop is ideal for researchers and PGR’s who want to maximise the visibility and impact of their research data.

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

The Women Academic Network and Women in Professional Services Network, in partnership with the Diversity and Inclusion Team, have come together to organise this event.

Success is subjective and differs from person to person. It is important for success to align with an individual's beliefs and values. Success can be measured through tangible achievements, viewed as a journey, or seen as a mindset. In addition, the criteria for success may be tied to personal, societal, spiritual, educational, or career objectives.

Join us to celebrate the various achievements of the women at LJMU!

Light refreshments and snacks will be available, but we kindly encourage you to bring your own lunch

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

Recruitment and Selection with Hireserve

This session is part of the LJMU LEAD Programme – Leadership Enhancement and Development but is for all staff who are to take part in any recruitment and selection of staff at LJMU.

We recognise that our employees are our greatest asset and ensuring that our recruiting managers follow the university's recruitment and selection policy is essential in attracting and retaining the right staff. Getting it wrong can have a lasting impact on the business and the individual leading to problems with staff morale and absence.

This session is aimed at taking recruiters through the recruitment and selection process including:

1. How to use the hiring manager self-service portal (Hireserve) from advertising through to offer

2. Producing a job description and person specification

3. Advertising the position

4. Carrying out a fair selection process at both shortlist and interview, gathering accurate information, interpreting information, and making decisions

5. Equal opportunities, dealing with subjectivity, diversity and good practice

6. Interviewing skills including preparing questions, questioning techniques and structuring the interview

The main staff guide for Panopto is available at https://ltech.ljmu.ac.uk/?page_id=159

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.