Thesis in bioinformatics



  • Hello, as part of a project funded by the INCA, we are offering 1 thesis on the analysis of multi-omic glioblastoma data "Bioinformatics methods to identify cellular types in GBM and develop prognostic models for cell fate using Artificial Intelligence":


  • https://bordeaux-bioinformatics.fr/open-positions-bioinformatics/


  • The subject and the application procedure are detailed in the link above.


  • The thesis will start in October 2021 at the earliest.


  • Regards, Macha Nikolski.


  • Head of Computational Biology and Bioinformatics team, CNRS UMR 5095 Head of Bordeaux Bioinformatics Center 146, rue Léo Saignat, University of Bordeaux 33077 Bordeaux


  • www: http://bordeaux-bioinformatics.fr phone: +33 (0) 5 57 57 12 47


PhD position for Data-Driven Multi-Modal Human-Robot Interaction within DI lab



  • Hello, Catharine Oertel is looking for a student interested in pursuing a PhD in Multimodal Human-Robot Interaction with a Focus on Dialogue at the University of Delft:


  • https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3779&jobTitle=PhD%20position%20for%20Data-Driven%20Multi-Modal%20Human-Robot% 20Interaction% 20within% 20DI% 20lab


  • contact: Catharine Oertel genannt Bierbach [email protected]


  • Regards, Catherine Pelachaud


IRT SystemX thesis offer - Confiance.ai program



  • Hello, We are looking for a candidate for an AI thesis on the following subject:


  • “Data-based monitoring using template-based probability distributions”


  • This thesis deals with the online monitoring of AI components in order to detect anomalies within the operating system compared to the expected behavior specified previously.


  • This thesis is part of the Grand Défi national confidence.ai .


  • The details of the subject and the procedure for applying are available via the following link:


  • https://www.irt-systemx.fr/recrutement/data-based-monitoring-template-based-probability-distributions/


  • Thanks for the broadcast. Regards, --- Johanna baro


  • Research engineer IRT SystemX


Internship offer _ Master 2 Research _ 2021/2022



  • Hello, The Artificial Intelligence (AI) team of the company Stago offers a Master 2 Research (M2R) internship for the second semester of the year 2021/2022.


  • We are looking for a student with strong Python programming language skills and, if possible, theoretical knowledge of machine learning techniques.


  • During the first semester (from mid-September to December), the student will draw up a state of the art of the field in parallel with his initial training, the objective being that he appropriates all the necessary theoretical elements.


  • to the resolution of the problem. The implementation of the various solutions selected will be carried out within the company's premises during the second half of the year (from mid-January to July). Note that a thesis continuation is possible.


  • Subject: Interests of temporal analysis of chronometric test results for rejection filters


  • Location: Gennevilliers, city of greater Paris


  • Supervisor: François Lasson, doctor ENIB, R&D studies manager Stago


  • Dates (flexible, 5 months minimum): from mid-January to the end of July


  • Bonus: minimum wage


  • Contact: [email protected]


  • The detailed topic is available here:


  • https://www.icloud.com/iclouddrive/0KGRYbf53A1HIyjCwvHT8sHSA#Stage%5FM2R%5F2021%5F2022


  • If this internship offer is likely to interest your student · e · s or people around you, feel free to circulate with them.


  • Regards, Francois Lasson


  • Francois Lasson R&D studies manager


  • 131 Avenue Louis Roche, Bâtiment G5, 92230 Gennevilliers, France


  • [email protected] - Tel: 01.41.47.18.35 - Mobile: 06.38.40.73.24


  • www.stago.fr


Offres de thèse Genève



  • The University of Geneva Particle Physics and Computer Science Departments invite applications for two Doctoral Assistants (PhD)


  • to work on an interdisciplinary project to provide High Energy Physics (HEP) with robust deep density machine-learning (ML) tools with focus on predictive, generative and anomaly detection models, with the ultimate objective to maximise the LHC’s sensitivity to discover physics beyond the Standard Model.


  • A particular focus rests on cutting-edge ML applied to jet flavour tagging.


  • The applicants will have the opportunity to work alongside a large international community as members of the ATLAS collaboration, and bring the latest developments in ML to the collaboration.


  • The students will work within an interdisciplinary working group led by internationally recognised experts in their field:


  • Francois Fleuret (Geneva, computer science) is an expert in deep learning techniques and simulation;


  • Slava Voloshynovskiy (Geneva, computer science) brings expertise in theoretically explainable ML;


  • Tobias Golling (Geneva, particle physics) has experience in designing and applying cutting-edge ML to LHC physics.


  • https://inspirehep.net/jobs/1910392