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Portail > Offres > Offre UMR5105-ANISOU-003 - H/F stage postdoctoral apprentissage statistique et neurosciences computationnelle

M/F Postdoctoral Offer in Statistical and Computational Learning

This offer is available in the following languages:
- Français-- Anglais

Date Limite Candidature : jeudi 22 février 2024

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Informations générales

Intitulé de l'offre : M/F Postdoctoral Offer in Statistical and Computational Learning (H/F)
Référence : UMR5105-ANISOU-003
Nombre de Postes : 1
Lieu de travail : ST MARTIN D HERES
Date de publication : jeudi 1 février 2024
Type de contrat : CDD Scientifique
Durée du contrat : 6 mois
Date d'embauche prévue : 1 avril 2024
Quotité de travail : Temps complet
Rémunération : 2 905€ - 3 331€
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : 1 à 4 années
Section(s) CN : Brain, cognition and behaviour

Missions

This position is filled as part of an innovative research project funded by the Carnot Cognition Institute (Reference: ICC2023/0076). The overall objective is to improve the diagnosis of cognitive neurodegenerative diseases such as Alzheimer's disease using multimodal data from large databases. Statistical learning methods applied to the data will help identify multimodal phenotypes of the considered neurodegenerative pathologies. Cognitive representations will be evaluated using network theory. The agent (M/F) must use various statistical learning modalities, other statistical analyses, and network theory applied to databases.

Activités

Objective 1: Phenotype the three pathologies using supervised algorithms to discover combinations of discriminative variables beyond classical statistical analyses.
Objective 2: Explore interactions among phenotype variables using inspection tools such as PDP (partial dependence plot) and nomograms to refine the characterization of cognitive pathologies.
Objective 3: Examine, using graph theory, how language, memory, and executive functions interact depending on the neurodegenerative pathology.
The recruited individual (M/F) is expected to present the study results to project partners in seminars and/or conferences and participate in the laboratory's scientific outreach activities. The recruited individual (M/F) will also contribute to submitting articles to peer-reviewed journals.

Compétences

Skills / Knowledge: Required skills: Doctorate in cognitive sciences or cognitive or computational neuroscience; Theoretical knowledge in the field of neurocognition (language, memory, executive functions); Methodological knowledge in classical statistics and programming; Proficiency in the Python language will be necessary at the time of taking up the position. Desired skills: Experience with neuroimaging data and/or machine learning methods and/or graph theory.
Knowledge/experience: Scikit-Learn, iGraph, or NetworkX.
Know-how: Python, Scikit-Learn, iGraph, or NetworkX.
Personal qualities: Rigor, efficiency, respect for work deadlines, teamwork.
Managerial skills: Not applicable.

Contexte de travail

The Laboratory of Psychology and Neurocognition, LPNC, is a Joint Research Unit (5105) affiliated with the CNRS (CNRS Biology and CNRS Humanities and Social Sciences) and two universities, the Université Grenoble Alpes (UGA) and the Université Savoie Mont-Blanc. Our laboratory conducts multidisciplinary research in "Cognitive Sciences" through a combined and complementary approach involving disciplines from the fields of humanities and social sciences (psychology, linguistics, neuropsychology), engineering applied to cognition (mathematics, modeling, and signal processing), and life sciences (neurosciences, medical sciences, neuroimaging). The research activities of LPNC focus on studying human cognition in the areas of perception, action, space, memory, and language. Research will primarily be conducted at LPNC and the Grenoble University Hospital (CHU). The recruited individual (M/F) will join the Language team.

Informations complémentaires

6-month fixed-term contract with possibility of extension to 12 months