16 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
is an asset.In addition, strong development and programming skills are highly recommended. Finally, the candidate must have good oral and written communication skills in English, with the aim
-
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
-
PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
-
-CHANGE is an interdisciplinary research program aimed at enhancing neurological health resilience in the face of global change through a One Health approach. By collaborating with Luxembourgish and
-
, 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
-
-reviewed journals (preferably in English and / or German) Teaching in the study program Bachelor en Formation Pédagogique and possibly further study programs at the Department of Education and Social Work
-
scientific expertise, well-equipped facilities, an active seminar program, and opportunities for conference attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar
-
/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
-
– This project is part of the Agence Nationale de la Recherche (ANR)-funded INSPIRE program, which aims at deciphering the molecular mechanisms of IRE1 through a unique and novel prism at the interface of chemical
-
academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming