PhD position – Development of Deep Learning Methods on Multi-Omics Data to Address Tauopathies

Biological sciences » Biological engineering

Organisation/Company Deelife Research Field Computer science » Modelling tools Biological sciences » Biological engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number HORIZON-MSCA-2022-DN-01 Marie Curie Grant Agreement Number Is the Job related to staff position within a Research Infrastructure? No

TAME brings together academic and industry partners across Europe to develop methods to better diagnose and treat tauopathies, including Alzheimer’s disease and frontotemporal dementia.

Tauopathies are characterized by abnormal tau protein buildup in the brain, leading to the formation of filaments, obstructing nerve synapses and impacting cell viability, ultimately leading to neurodegenerative disorders.

DeepLife will use proprietary data obtained from cell cultures and in vivo models, together with open-access data, to build a digital model of a neuron affected by tau pathology in order to predict novel biomarkers and therapeutic strategies.

The successful candidate will be hired by DeepLife under a 36-month full-time PhD employment contract.

The candidate will spend:

• 24 months within DeepLife’s R&D team

The PhD will be jointly supervised by DeepLife and Université de Lille. The candidate will also interact regularly with the TAME consortium and benefit from its biological and experimental expertise.

Requirements

Research Field Biological sciences » Other Education Level Master Degree or equivalent

Skills/Qualifications

• We are looking for a candidate with:
  • A Master's degree or equivalent in biology, molecular/cellular biology, neuroscience, bioinformatics or a related field;
  • Hands-on wet-lab experience, ideally in cellular or molecular biology;
  • Good Python programming skills and the ability to work with biological datasets;
  • Basic knowledge of machine learning, with a strong interest in developing further expertise in computational modelling and generative models;
  • Experience with omics, single-cell or multi-omics data would be an advantage;
  • A strong interest in combining experimental data and computational approaches to develop and validate Digital Twins of neurons affected by tauopathies.

Languages ENGLISH Level Excellent

Research Field Computer science » Modelling toolsBiological sciences » Biological engineering

Additional Information

The PhD fellowship duration is 3 years and correspond to a work contract protected by employment laws of the hosting country that includes full social benefit and a mobility allowance. Family allowance is provided if applicable. Salary and additional benefits are according to EU-standards for Marie Curie fellows The fellows will be enrolled in doctoral schools associated to the host institution. Starting date is as soon as possible.

Eligibility criteria

Candidate eligibility: Eligible candidates have to be in the first four years of their research careers and in possession of a European Master’s degree or equivalent but not yet awarded with a doctoral degree The researchers must not have resided or carried out their main activity (work, studies, etc.) in the hosting country for more than 12 months in the 3 years immediately prior to the start of the contract date. We are committed to equal opportunity recruitments

Application must include at the minimum a copy of the Master diploma, a curriculum vitae and contact(s) to request for external evaluation and could include any additional documents that might be judged useful (Toefl score, academic notes…)

Short-listed candidates will be invited for an interview, by teleconference if more convenient. Candidates that are not selected will be informed by email with a brief description of the reason for rejection.

Selection criteria: To assess whether the candidate can initiate a PhD programme are the following: 1. (25%) Merit and excellence criteria: academic track record will be one of the considered criteria (examination and dissertation marks, courses followed, internships, etc.) 2. (20%) Knowledge and experience in the field 3. (20%) Non-academic skills, such as communication skills and team work 4. (25%) English language proficiency and criteria like previous mobility, teaching experience, publication record, awards. 5. (10%) external expert assessments (reference letter(s)).

Application eligibility: Eligible application is received before the deadline & it is complete & the candidate possesses a European Master degree or equivalent at the time of the deadline & the candidate has an excellent proficiency of the English language

Additional comments

About DeepLife

DeepLife is a techbio company developing Digital Twins of human cells to accelerate drug discovery. By combining large-scale multi-omics data, artificial intelligence and systems biology, DeepLife models cellular mechanisms to identify the molecular drivers of disease and uncover new therapeutic targets.

DeepLife offers an international and research-driven environment, bringing together expertise in computational biology, machine learning and drug discovery.

About TAME

TAu imMunE (TAME) is a European Doctoral Network dedicated to tauopathies, bringing together academic institutions, research organisations and private companies across Europe.

The research and training programme aims to generate new knowledge and innovative approaches for the diagnosis and treatment of tau-related neurodegenerative diseases, including Alzheimer’s disease and frontotemporal dementia.

Number of offers available 1 Company/Institute CNRS-UMR9031 Integrative structural biology Country France City Villeneuve d'Ascq Postal Code 59658 Street Avenue de Halley Geofield