Sort by
Refine Your Search
-
families,with access to free public education from the age of 3 and childcare assistance programs. A universal healthcare system is also largely covered by the government. Outstanding early-career candidates
-
, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
-
novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning
-
Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in international collaborative projects Experience with laboratory
-
between teaching and research: Teaching: The holder of the position will contribute to the Bachelor of Science in Pediatric Nursing. The candidate will contribute to establish the training plan
-
experimental beamlines. In 2020, the ESRF resumed operation after a major upgrade programme and is now exploiting the Extremely Brilliant Source (EBS), a new and revolutionary low-emittance storage ring with X
-
auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
-
programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
-
(2022), together with the QUALIA programming framework Novac et al. (2021), will serve as a concrete execution substrate to assess the behavior of spiking models under realistic hardware constraints
-
), alongside system-oriented metrics such as inference latency, model size, and reliability under perturbations. 3 Work Plan The work of this postdoc includes: • Studying the state-of-the-art in knowledge