Sort by
Refine Your Search
-
staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
-
of T6SS effectors to the T6SS machinery. Candidates should have experience in molecular biology techniques, protein biochemistry, structural biology and bacterial genetics. Applications must be submitted
-
planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
-
CENTD, a multidisciplinary center studying molecular targets of inflammatory diseases, is offering a postdoctoral position for 12 months. The project aims to identify and validate new pharmacological
-
techniques, molecular analyses, MALDI-TOF MS mass spectrometry, and sequencing. The fellow will be responsible for supervising all stages of the project (from sample collection and processing to molecular
-
, through grant number 2024/16197-2). The work to be developed has two central objectives: (i) Molecular characterization of non-coding RNAs (ncRNAs) and identification of their binding proteins and (ii
-
staff position within a Research Infrastructure? No Offer Description The Centre of Excellence in New Target Discovery (CENTD) is a multidisciplinary center studying molecular targets of inflammatory
-
for Molecular Engineering for Advanced Materials (CEMol) – a Research, Innovation and Dissemination Center (RIDC) funded by the São Paulo Research Foundation (FAPESP) and hosted by CNPEM. The fellow will work
-
(R3) Positions Postdoc Positions Country Brazil Application Deadline 3 Oct 2025 - 23:59 (America/Sao_Paulo) Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer Starting Date 1
-
incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in