Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
-
interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data
-
Provide support in grant writing Perform other tasks within the framework of this position For further information, please contact Prof. Paul Wilmes: E-mail: Telephone: (+352) 46 66 44 6188 Your profile PhD
-
. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
-
potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
-
methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
-
languages and in R is also required. • Application deadline: 1st August 2025 • Required experience: 2 - 8 years after PhD. • Duration of the contract: 36 months • Salary: Upon experience and according
-
, bioinformatics, etc.), the laboratory offers a supportive and collaborative environment, with multiple opportunities for personal growth.If you wish to apply and submit a joint project, please send an email to
-
can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
-
, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular