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Doctoral
Engineering&Technology,Business & Management,Computer Science & IT
France
French Institute for Demographic Studies
Eligible Countries:
All international, as well as home country applicants, are eligible to apply.
Criteria:
The applicants must be enrolled in a doctoral programme in a French or foreign university for the academic year 2021-2022.
Apply date:
18th May, 2022.
The French Institute for Demographic Studies is a French research institute specializing in demography and population studies in general. the applicants must hold or expect to hold a relevant master’s degree certificate. The studentship will typically cover the tuition fee and offer a stipend.
University or Organization: French Institute for Demographic Studies
Department: NA
Course Level: PhD
Award: Tuition fee
Number of Awards: 3
Access Mode: Online
Nationality: Domestic and International
The award can be taken in France.
Application Deadline: 18th May, 2022.
Admission Requirements:
The applicants must hold or be expected to hold a Master’s degree or equivalent in a discipline related to the population sciences.
Language Requirement:
The students must meet the language requirements of the institute.
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MOPGA
As a main player in the battle against climate change and guarantor of the nature of the Paris Agreement, France is founding a new MOPGA visiting fellowship program geared towards supporting scientific assistance to climate change issues raised by the COPs.
Eligible Countries:
No nationality restrictions (except FRANCE).
Acceptable Course or Subjects:
The scholarship will be awarded in PhD degree in any subject offered by the university
Criteria:
Applicants who do NOT hold French citizenship
Foreign researchers holding a doctoral degree for less than five years (must have passed their thesis defense between January 2017 and January 2023)
Foreign researchers living abroad (not in France) since at least the 1st of September, 2022 (more than 90 days).
Application Deadline: 16 January 2023.
France
The University of Lorraine
Eligible Countries:
All nationalities.
Eligible Course or Subjects:
PhD degree in computer science offered by the university.
Criteria:
Good background in Analysis, Stochastic, Optimization, and Machine learning.
Good skill in programming in Matlab, C, C++, and python (write the code of numerical algorithms).
Last date:
11/02/2022
France
University of Lorraine
Eligible:
Applicants from all nations throughout the world are welcome to apply.
PhD degree in computer science offered by the university.
Criteria:
Applicants must have a master’s degree in Computer science or Applied mathematics.
PhD degree in computer science offered by the university.
Good background in Analysis, Stochastic, Optimization, and Machine learning.
Good skill in programming in Matlab, C, C++, and python (writing the code of numerical algorithms).
Last date:
The applications are currently open and will remain so until the position is filled.
France
Clermont Auvergne University
Eligible
Applications are accepted from around the world.
PhD. Thesis offer in Advanced discrete optimization meets machine learning.
Criteria:
Candidates must have skills in applied mathematics, in relation to optimization, operations research machine learning, and/or statistics. The candidate should also like programming.
Apply date:
09/22/2022
France
The University of Lorraine
Eligible:
All nationalities.
PhD degree in computer science offered by the university.
Criteria:
Good background in Analysis, Stochastic, Optimization, and Machine learning.
Good skill in programming in Matlab, C, C++, and python (write the code of numerical algorithms).
Apply date:
09/10/2022
France
Aix-Marseille University
Eligible :
All nationalities.
PhD degree in physics, nanoscience, biosensing, biotechnologies, and engineering, offered by the university.
Criteria:
Experience in experimental and theoretical research on nano-optics and biophotonics will be highly appreciated but is not mandatory.
No restrictions of citizenship apply to the PhD fellowship.
Apply date:
08/20/2022
France
Study Level
Subject / Specialist
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