Sort by
Refine Your Search
-
Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools (e.g., RDKit, Open Babel) and chemical reaction databases (e.g., Reaxys
-
machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
-
publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux. Proficiency in English and ability to work in a team. Outstanding
-
Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in
-
innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups and can be self-organized when they reach a critical mass. Academic liberty is
-
Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in
-
of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis
-
at scientific meetings and conferences. Co-supervise ungraduated, graduate and PhD students Participate in developing research proposals and programs in the area of collaboration with multidisciplinary
-
, conferences, and training programs. The successful candidate will have the chance to network with leading experts in the field, industry professionals, and policymakers, enhancing their career prospects and
-
Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests