-
and machine learning in big data environments. Eligibility criteria Preferrent Merits: Master in Computer Engineering, in specialties of Data Science or Artificial Intelligence Selection process Merits
-
Engineering or engineering leading to a Master's in Industrial Engineering, or Computer Science or similar, or Telecommunications Engineering or similar, or Bachelor's Degree in Mathematics Selection process
-
criteria Master in Chemistry with Master Thesis in a field of relevance for the research project Selection process Merits based tender process (maximum 10 points): Academic achievement: globally as
-
. Eligibility criteria Have a master’s degree related to biodiversity conservation or data processing. Selection process Merits based tender process (maximum 10 points): 1. Academic record (3 points). 2. Master
-
resources and social networks that favour the dissemination of the previous duties. Selection process Merits based tender process (maximum 10 points): The following merits will be valued (over 10 points): 1
-
and events organised by the Service of Attention to the University Community. Selection process Merits based tender process (maximum 10 points): 1. Academic training (3 points maximum) A) Academic file
-
related to organometallic chemistry and functions to be developed. Selection process Merits based tender process (maximum 10 points): 1) Academic achievements (2 points): Academic records and cover letter
-
Selection process The following merits will be assessed (out of 10 points): 1.Academic Training (Maximum 3 points). A) Academic record of the minimum qualification required: 0.5 point, Outstanding 1 point. B