M/F Data Modeling, Modeling Analysis and Signal
Il y a 3 mois
Cette offre est disponible dans les langues suivantes:
- Français
- Anglais
Date Limite Candidature : jeudi 19 septembre 2024 23:59:00 heure de Paris
**Informations générales**:
**Intitulé de l'offre **:H/F Modélisation mathematique et analyse de données series temporelles electrophysiologique, EEG et imagerie et traitement de signal et IA**
Référence : UMR8197-VALHER-128
Nombre de Postes : 1
Lieu de travail : PARIS 05
Date de publication : jeudi 29 août 2024
Type de contrat : CDD Scientifique
Durée du contrat : 12 mois
Date d'embauche prévue : 1 octobre 2024
Quotité de travail : Temps complet
Rémunération : Entre 3 000€ et 4 600€ selon l'expérience
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : Indifférent
Section(s) CN : Neurobiologie moléculaire et cellulaire, neurophysiologie
**Missions**:
**Activités**:
**Compétences**:
mathématiques / physique / informatique / EEG neuroscience
simulations / analyse de données / python/matlab/DL
Compétences relationnelles : Interactions avec les partenaires biologiques
**Contexte de travail**:
L’Institut de biologie de l’ENS (IBENS) est un centre de recherche fondamentale qui mène des recherches originales visant à décrypter les mécanismes fondamentaux au cœur des processus biologiques.
Unité mixte ENS-CNRS-INSERM, l’IBENS accueille plus de 300 personnes regroupées en 30 équipes autonomes conduisant une recherche hautement collaborative et multidisciplinaire qui allie approches expérimentales et théoriques.
L’activité de recherche couvre des champs thématiques variés : Neurosciences, Biologie du développement, Génomique fonctionnelle, Écologie et biologie de l’évolution.
Plusieurs plateformes technologiques, notamment en imagerie, génomique, protéomique et bio-informatique sont à la disposition des chercheurs. Les recherches menées à l’IBENS bénéficient des interactions avec d’autres disciplines présentes à l’ENS (physique, chimie, sciences cognitives, mathématiques). L’IBENS est activement impliqué dans la formation des étudiants et jeunes chercheurs à tous les niveaux.
L’équipe d’accueil Mathématiques appliquées et Biologie computationnelle, dirigée par David Holcman comprend une dizaine de d’étudiants et chercheurs tout confondu.
L’objectif de l’équipe est de comprendre et de quantifier les mécanismes sous-jacents de la biologie computationnelle.
Analyse de données, simulations et classification, biologie computationnelle et sciences associées, médecine.
**Contraintes et risques**:
Travail sur écran
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