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Sergi Mas

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PhD Opportunity in Precision Psychiatry and Precision Medicine University of Barcelona in Spain

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD is within the newly funded FarmaPRED-OPTIM project. Candidates will be supported in applying for competitive predoctoral fellowships and contracts, including PFIS (ISCIII), FI Joan Oró (AGAUR), PREDOCS-UB, FPU, and FI-STEP. The post mentions strong support for fellowship applications and career development, but does not state a fixed stipend amount.

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Country

Spain

University

University of Barcelona

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Keywords

Computer Science
Psychology
Biology
Precision Medicine
Neuropsychology
Medical Science
Epigenetic
Genomic
Statistics
Psychiatric Genetics
Bioinformatic
Transcriptomic
Pharmacogenomic
ML

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About this position

PhD opportunity in Precision Psychiatry at the University of Barcelona (UB) and IDIBAPS. The newly funded FarmaPRED-OPTIM project is seeking highly motivated candidates for a PhD in Precision Medicine focused on improving prediction of antipsychotic treatment response in patients with first-episode psychosis.

The research combines genomics, transcriptomics, epigenomics, statistical genetics, bioinformatics, and machine learning to build clinical prediction models. Core topics include polygenic risk scores (PRS), transcriptome-wide association studies (TWAS), epigenetic biomarkers, pharmacogenetic biomarkers, and predictive modelling.

Ideal applicants come from Bioinformatics, Bioengineering, Biostatistics, or Biomedical Sciences. Experience with R, Python, GWAS, PRS, machine learning, or omics analysis is highly valued. Exceptional candidates currently completing a Master's degree are also encouraged to apply.

Funding support is available through competitive predoctoral fellowships and contracts such as PFIS (ISCIII), FI Joan Oró (AGAUR), PREDOCS-UB, FPU, and FI-STEP. The post highlights strong support for fellowship applications, access to unique clinical and genomic datasets, training in cutting-edge multi-omics methods, and flexible working arrangements including partial remote work.

To apply, interested candidates should contact Sergi Mas directly via LinkedIn or email ([email protected]) and send a CV, academic transcript, and brief statement of interest. More information about the project is available at farmapred.org.

Funding details

The PhD is within the newly funded FarmaPRED-OPTIM project. Candidates will be supported in applying for competitive predoctoral fellowships and contracts, including PFIS (ISCIII), FI Joan Oró (AGAUR), PREDOCS-UB, FPU, and FI-STEP. The post mentions strong support for fellowship applications and career development, but does not state a fixed stipend amount.

What's required

Applicants should have a background in Bioinformatics, Bioengineering, Biostatistics, or Biomedical Sciences. Experience in R, Python, GWAS, PRS, machine learning, or omics analysis is highly valued. Exceptional candidates currently completing a Master's degree are encouraged to apply.

How to apply

Contact Sergi Mas directly via LinkedIn or email with a CV, academic transcript, and a brief statement of interest. Mention your relevant background and experience in omics, bioinformatics, or statistical genetics.

More information can be found here

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