116 machine-learning-phd positions at PhD Programme "Gene Regulation in Evolution" in Morocco
Sort by
Refine Your Search
-
related to staff position within a Research Infrastructure? No Offer Description Career Opportunities at UM6P College of Computing: Professor in "Machine Learning". About UM6P and its College of Computing
-
at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD
-
individuals with a PhD degree from a recognized university and with substantial expertise in Machine Learning. Qualified candidates will be recruited according to their academic accomplishments
-
Job Type: Full-time, PhD program (x4 years of funding) Number of positions: 4 The School of Collective Intelligence (SCI) - Mohammed IV Polytechnic University (UM6P, Morocco), is seeking highly
-
of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD
-
of Computer Systems. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a
-
allocation, Machine learning, Wireless communication. The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications
-
facilitate decisions. Required qualifications PhD degree in Computer Science, Bioinformatics, Machine Learning, or equivalent degree Advanced Know-How in the fields of Data engineering, Machine Learning and
-
and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating
-
Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
spectroscopy for multi-scale soil fertility mapping and assessment, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML