Brain signatures of “self” representation explain and predict future depression in chronic pain patients (CNS2023-145425) (POSTSIMP260408112024)

Job title:

Brain signatures of “self” representation explain and predict future depression in chronic pain patients (CNS2023-145425) (POSTSIMP260408112024)

Company:

Job description

Offer DescriptionWe are seeking a highly motivated postdoctoral researcher for a 1-year
position to join the project “Brain signatures of ‘self’ representation explain and predict future depression in chronic pain patients”. This project aims to identify neuroimaging biomarkers linked to self-representation that can predict depression outcomes in individuals suffering from chronic pain.
Project description: The study focuses on uncovering how specific brain
signatures associated with self-concept and self-judgment predict
depression in chronic pain patients. Using advanced neuroimaging
techniques, the project examines the mechanisms of self-related processing and their influence on emotional health in chronic pain contexts. This research has the potential to inform early identification and personalized treatment approaches for patients at risk of more negative health outcomes.
Responsibilities: The postdoctoral researcher will work closely with the
Principal Investigator and research team to:
– Conduct neuroimaging analyses (e.g., fMRI) and apply statistical and
machine learning models to identify predictive markers of depression.
– Design and execute experimental protocols related to selfrepresentation and chronic pain.
– Prepare manuscripts, reports, and presentations for dissemination of
findings within the scientific community.
– Collaborate with other team members and external partners,
contributing expertise in neuroimaging and psychological assessments.Where to apply WebsiteRequirementsResearch Field Neurosciences Education Level PhD or equivalentSkills/Qualifications– PhD in Neuroscience, Psychology or a related field.
– Proven track record of publications in research areas related to chronic pain and brain imaging
– Demonstrated expertise in neuroimaging techniques, particularly fMRI.
– Proficiency with neuroimaging analysis software (e.g., SPM, FSL, CONN).
– Strong quantitative and analytical skills, including experience with statistical software (e.g., R, Python, MATLAB).
– Familiarity with machine learning techniques for predictive modeling.
– Excellent written and verbal communication skills in English.
– Experience with experimental design and data collection in clinical populations, particularly chronic pain or mood disorders.
– Ability to work independently and collaboratively within a research team.
– Strong organizational skills and experience managing complex datasets.Specific RequirementsRelevant computer skills: Advanced user of MRI analysis software (FreeSurfer, FSL, SPM, AFNI, CONN), software to program fMRI task designs (E-prime), R, Python, MATLAB, SPSS, Jamovi, and Office Packages.Languages CATALAN Level Mother TongueLanguages SPANISH Level Mother TongueLanguages ENGLISH Level ExcellentResearch Field NeurosciencesAdditional InformationBenefitsGross salary per year: 40.995,00 euro * 12 payments

Eligibility criteria

• PhD (30 points). E.g., PhD in the specific field (30 points), generic Ph.D. (10 points)
• Motivation letter (maximum 30 points)
• Relevant experience (maximum 40 points). E.g.,

3 years (20 points),
3 years (5 points)Selection processSelection by evaluation of the curriculum vitaeAdditional commentsDuration of the contract of employment: 1 year
The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.
Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people). Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Faculty of Medicine, University of Barcelona Country Spain State/Province BARCELONA City BARCELONA Postal Code 08036 Street Casanova 143 GeofieldContact CityBarcelona WebsiteStreetGran Via de les Corts Catalanes, 585 Postal Code08007 E-Mailoagmedicina@ub.eduSTATUS: EXPIREDShare this page

Expected salary

€40995 per year

Location

Barcelona

Job date

Sun, 10 Nov 2024 01:42:02 GMT

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