40 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:"-"https:" positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Netherlands. The training program will be detailed based on the profile and educational background of the PhD student recruited. PhD training will be framed by the mandatory Doctoral Education Agreement (DEA) between
-
programs in Life Sciences, Medicine, Nursing, and Allied Health Professions. Health and Medicine is a strategic priority of the University of Luxembourg and is in a phase of ambitious development
-
capacity to plan, coordinate, and deliver research projects, possibly involving multiple partners Teaching and Supervision Proven ability to contribute to curriculum design, teaching, and supervision
-
strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
-
valuable asset. The ability to work independently while collaborating within an international research team is essential. The internship is open to students enrolled in Master’s programs in physics, plasma
-
, will coordinate the department's medical domain and will work closely with study programme directors, clinical partners and university management to align and consolidate existing and future medical
-
partnerships, services) and optimize the use of resources. Assess the current organisation of the Technology Department and adapt it to the ambitions of the strategic plan. The Technology Director reports
-
-private partnerships, services) and optimize the use of resources. Assess the current organisation of the Technology Department and adapt it to the ambitions of the strategic plan. The Technology Director
-
orthogonal random directions. Mathematical Programming, 199(1):1179–1219, 2023. • J. Bolte, E. Pauwels, S. Vaiter. Automatic differentiation of nonsmooth iterative algorithms. NeurIPS 2022. Candidate Profile
-
, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an