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    <title>Jobs at the University of Nottingham | Mental Health and Clinical Neurosciences</title>
    <link>https://jobs.nottingham.ac.uk/Vacancies.aspx?cat=1280&amp;type=6</link>
    <description>Latest job vacancies at University of Nottingham</description>
    
        <item>
          <title><![CDATA[Research Assistant (Fixed term) (MED2412726)]]></title>
          <link>https://jobs.nottingham.ac.uk/rss/click.aspx?ref=MED2412726</link>
          <guid>https://jobs.nottingham.ac.uk/rss/click.aspx?ref=MED2412726</guid>
          <description><![CDATA[
            <p>Applications are invited for a Research Assistant position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham, UK. You will be a part of a team working towards novel harmonisation strategies for Magnetic Resonance Imaging (MRI) brain data. Specifically, you will use the lab&rsquo;s recently developed ON-Harmony harmonisation resource to develop new methods for harmonising smaller and disease specific cohorts to the UK Biobank, making use of the recent extension to ON-Harmony to include UK Biobank scanners.&nbsp;</p><p>The successful applicant will be a member of the computational neuroimaging group (https://conilab.nottingham.ac.uk), under the supervision of Prof. Stam Sotiropoulos. The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a systems level and are active developers of FSL tools (https://www.fmrib.ox.ac.uk/fsl). The role holder will further join the existing inter-disciplinary and vibrant environment team of the internationally-recognised Sir Peter Mansfield Imaging Centre (www.nottingham.ac.uk/magres) and expected to benefit from further collaboration opportunities with researchers within the Nottingham Biomedical Research Centre, the N3 Centre (Centre for Neurotechnology, Neuromodulation and Neurotherapeutics) and the Institute of Mental Health.&nbsp;</p><p>Successful applicants will be expected to hold an undergraduate degree in a relevant domain, such as engineering, computer science, neuroscience, physics, applied mathematics. Skills in computer programming (especially Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be desirable.&nbsp;</p><p>The post is offered on a full-time basis (36.25 hours per week) with a fixed duration of 14 months. Employment could begin as early as 1st October 2026. Further information is available in the role profile. To apply for this vacancy please click &lsquo;Apply Now&rsquo; to complete your details.&nbsp;</p><p>Please contact Dr Warrington (shaun.warrington1@nottingham.ac.uk) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.&nbsp;</p><p>What we offer:</p><ul><li>A friendly, diverse, and supportive working environment</li><li>A hybrid working arrangement with the blended approach of home and office working each week</li><li>Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year</li><li>Our reward scheme grants bonuses of numerous values for excellent work</li><li>We are committed to staff development through the provision of training, continued support, and career progression opportunities</li><li>You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website</li></ul>
            <p>
              Closing Date: 05 Oct 2026<br />
              Category: Research and Teaching (R&T)
            </p>
          ]]></description>
          <category><![CDATA[Research and Teaching (R&amp;T)]]></category>
          <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
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        <item>
          <title><![CDATA[Research Assistant (Fixed term) (MED2178126)]]></title>
          <link>https://jobs.nottingham.ac.uk/rss/click.aspx?ref=MED2178126</link>
          <guid>https://jobs.nottingham.ac.uk/rss/click.aspx?ref=MED2178126</guid>
          <description><![CDATA[
            <p id="isPasted"><strong>About the role</strong><strong>:&nbsp;</strong>This role supports a new research project seeking to understand what people think about neuromodulation (non-invasive brain stimulation) treatments for the mental health condition depression. The specific focus is on <a href="https://www.mindtech.org.uk/research/research-themes/our-projects/tms-transcranial-magnetic-stimulation">transcranial magnetic stimulation (TMS)</a>. The project is particularly seeking to identify barriers to access that may be experienced by groups of people that are not typically included in mental health research. The role also supports Community Engagement and Involvement (CEI) work across our wider mood disorders research.</p><p>The role holder will engage and build relationships with community groups in Nottinghamshire whose members are not typically included in mental health research. This will involve attendance at community group meetings and engagement events, including in the evening and on occasion at weekends. The role holder will also conduct interviews, focus groups, and co-production workshops, with people with experience of depression.</p><p><strong>About the team:</strong> You will be part of an enthusiastic and supportive wider research team developing new neuromodulation treatments for mental health conditions. You will also be part of the multi-disciplinary and vibrant MindTech HealthTech Research Centre and will work closely with MindTech&rsquo;s Senior Patient and Public Involvement Manager.</p><p><strong>About you:&nbsp;</strong>You will need to have a degree in Psychology or Neurosciences, Social Sciences, or Health Sciences; your own transport or be comfortable using public transport (costs will be reimbursed); experience of working with people with mental health conditions (either in a clinical or research context); and experience of qualitative research methodologies. You will need to be able to work flexibly to attend online and in-person engagement events and stakeholder activities, including in the evening and on occasion at weekends.</p><p><strong>What we offer:</strong></p><ul><li>A friendly, diverse, and supportive working environment</li><li>Generous holiday entitlement of 30 days (pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year</li><li>Formal training in community engagement and hands-on training in qualitative and participatory research methodologies</li><li>You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes, and many more. To find out more about what we can offer you, visit our <a href="https://www.nottingham.ac.uk/jobs/benefits-and-facilities/your-benefits.aspx">benefits website</a></li></ul><p><strong>What next:&nbsp;</strong>Further information is available in the role profile. &nbsp;</p><p>To apply for this vacancy, please click &ldquo;Apply Now&rdquo; to complete your details.&nbsp;</p><p id="isPasted">Applications will be reviewed and a shortlist of candidates will be invited to interview in October 2026. The successful candidate will commence in November 2026.</p><p>This is a full time (36.25 hours per week), fixed term (18-month) post. The role requires you to have an Enhanced DBS check.</p><p>Please contact Dr Paul Briley (<a href="mailto:paul.briley@nottingham.ac.uk">paul.briley@nottingham.ac.uk</a>) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.&nbsp;</p>
            <p>
              Closing Date: 05 Oct 2026<br />
              Category: Research and Teaching (R&T)
            </p>
          ]]></description>
          <category><![CDATA[Research and Teaching (R&amp;T)]]></category>
          <pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate>
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