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Doctoral (PhD) student position in Epigenetics, Bioinformatics and AI Focused on Multiple Sclerosis

Ente di ricercaScadenza 9 agosto 2026
Ente
Karolinska Institutet, doctoral positions
Paese
Svezia
Campo di ricerca
Neurosciences
Lingua dell’annuncio
Inglese
Tipo di contratto
Other
Profilo ricercato
Dottorando in Bioinformatica
Sede
Stockholm, Svezia
Pubblicato il
Scadenza
9 agosto 2026

Descrizione

Doctoral (PhD) student position in Epigenetics, Bioinformatics and AI Focused on Multiple Sclerosis Sintesi in italiano (traduzione automatica): L'organizzazione Karolinska Institutet offre una posizione per un dottorando in Bioinformatica con focus sull'epigenetica e l'intelligenza artificiale applicata alla sclerosi multipla. Il candidato lavorerà sotto la supervisione di esperti nel Dipartimento di Neuroscienze Cliniche, contribuendo a un progetto di ricerca innovativo che integra dati genetici, epigenetici e clinici. È richiesta una laurea magistrale in Biologia, Bioinformatica o un campo correlato. Le mansioni principali includono l'analisi di dataset omici, lo sviluppo di metodi statistici e modelli AI interpretabili, e la collaborazione con un team multidisciplinare. La posizione offre un ambiente di ricerca internazionale e stimolante, con l'obiettivo di migliorare la comprensione della progressione della malattia e sviluppare approcci di medicina di precisione. Do you want to contribute to top quality medical research? To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The research group is led by Professor Maja Jagodic at the Department of Clinical Neuroscience (CNS) and is part of the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) network, which brings together approximately 100 researchers investigating different aspects of multiple sclerosis (MS) pathogenesis. This position offers a unique opportunity to contribute to interactive, clinically driven research by combining a deep understanding of the molecular mechanisms underlying MS with access to world-class clinical cohorts. You will benefit from a collaborative, interdisciplinary, and international research environment dedicated to developing innovative translational approaches within precision medicine. The doctoral student project and the duties of the doctoral student Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system and one of the leading causes of neurological disability in young adults. The disease is highly heterogeneous with respect to its clinical presentation, progression, and treatment response, making prognosis and therapeutic decision-making particularly challenging. Epigenetic mechanisms are believed to play a key role in neuroinflammation and neurodegeneration processes, and a better understanding of these mechanisms has the potential to improve our understanding of disease progression while enabling more personalized management. The PhD project aims to advance our understanding of the molecular mechanisms underlying MS progression by integrating genetic, epigenetic, and clinical data using advanced bioinformatics and AI-based analytical approaches. As a doctoral student, you will analyze large-scale omics datasets, develop and apply statistical methods and interpretable AI models, and contribute to the identification of biological markers and molecular mechanisms associated with disease progression. The project is conducted in a multidisciplinary research environment with close collaboration between bioinformaticians, molecular biologists, and clinical researchers. Data-driven life sciences (DDLS) use data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab and Wallenberg's national program for data-driven life science (DDLS) aim to recruit and train the next generation of researchers in data-driven life science and create globally leading competence in computational and data science for life science in Sweden. The program has SEK 3.1 billion in funding (approx. USD 290 million) over 12 years from Knut and Alice Wallenberg's foundation. The DDLS research school was launched in 2024 via the recruitment of 20 academic and 7 industrial PhD students. Over the course of the program, more than 260 doctoral students and 200 postdocs will be part of the graduate school. The DDLS program has four strategic research areas: Data-driven precision medicine and diagnostics, Data-driven transmission and infection biology, Data-driven cell and molecular biology, and Data-driven evolution and biodiversity. For more information, see https://www.scilifelab.se/data-driven/ddls-research-school/ . What do we offer? A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered Annuncio in in

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