PHD position: Linking in silico trials to organoids data and innovative trial design (DC11) - MSCA Joint doctoral network ORGESTRA

  • Paris
  • CDD
  • Temps-plein
  • Il y a 17 jours
Offer DescriptionThe objectives of this PhD project is to propose patient-centred innovative screening platform trial designs using organoids models and auxiliary data including patient's disease trajectory and treatments' temporality. The PhD candidate will develop clinical trial designs using organoid models and auxiliary data for exploratory clinical trials based on patients' screening, disease trajectory and treatment personalisation. These designs will take into account all information organoid models and auxiliary data using Bayesian evidence synthesis approaches.ORGESTRA is a EU funded Marie Skłodowska-Curie Joint Doctorate Network training 13 PhD candidates to conduct advanced research that addresses critical challenges in the field of organoid technologies for disease modelling, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified young scientists in new scientific and technological knowledge. At the end of your PhD, you will obtain joint/double PhD diplomas from two reputed universities within the ORGESTRA network. and ,The network is developing personalized disease models using stem cell-derived organoids for rare diseases, including the lung and kidney diseases, cystic fibrosis and cystinosis. Research will aim to identify pathogenetic mechanisms, druggable targets, and drug mode of action for effective and innovative treatment strategies and to classify the pathway to clinic. We will also address ethical and regulatory issues to foster acceptance and implementation of organoid models and develop a living technologies toolset to enable a swift transfer from bench to bedside.Mobility is an essential part of MSCA PhD projects. Secondments are mandatory.RequirementsResearch Field Mathematics » Statistics Education Level Master Degree or equivalentSkills/QualificationsMasters in statistics or biostatistics or applied mathematics, At least level C in English, Good communication skills in English, Coding in R or/and Python, knowledge in Bayesian statistics will be appreciated.Languages ENGLISH Level GoodAdditional InformationBenefitsMarie Sklodowska-Curie PhDs are paid a highly competitive salary according to the Marie-Curie programme regulations composed of Living allowance: (multiplied by a country coefficient) - corresponds to the Monthly Gross salary, a mobility allowance (private mobility related costs) and Family allowance (if applicable).The net salary calculation depends on the employment rules and conditions in each country. The total allowances received for DC's salary are subject to tax and social contributions (employer's and employee's).Eligibility criteriaThe applicant must have a Master's degree (or any equivalent diploma). Note: A Master's degree (or equivalent) is not necessary at the time of the application, but will be required at the date of recruitment.Residency RestrictionThe applicant can be of any nationality but at the date of recruitment should not have resided in France where the primary research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work, studies, etc.) in that country. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.English ProficiencyBe able to communicate fluently in English (speaking and writing).No DoctorateMust not have a doctoral degree at the date of recruitmentNote: Specific requirements and skills are detailed for each positionWebsite for additional job detailsWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute University Paris Cité Country France City Paris GeofieldWhere to apply WebsiteContact CityParis WebsiteE-Mailchristina@ceratium.euSTATUS: EXPIRED

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