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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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Electronique embarquée de conditionnement pour électrode de référence dans un accumulateur Li-ion Postdoctoral position in analog embedded electronics and electrochemistry, for Reference Electrode signal conditioning inside a Li-ion battery cell. In the new field of the Reference Electrode (RE)...
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Category Intrumentation, metrology and control Contract Postdoc Job title Instrumental development for low-energy critical dimension small angle x-ray scattering H/F Subject This Postdoc will take place at the CEA–LETI, a major European actor in the semiconductor industry, at the...
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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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In cancer as well as chronic infections, T cells are exposed to persistent antigens and acquire a dysfunctional gene expression program which includes high expression of the inhibitory receptor
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signatures. We hypothesize that this unique program may represent an ancient state of some skeletal muscles fibres and be required for unique mechanical functions. This project aims to address the following
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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
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Master's degree in Epidemiology, Public Health or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma; Experience in working
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, ranging from biological to clinical features. The integration of such heterogeneous information within a coherent computational model is currently challenging, due to the typical large dimension and