58 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Lund
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
measurement methods (e.g. AFM) or correlative experiments combining mechanical measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based
-
for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
-
factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing
-
new diagnostic and prognostication markers and targets for novel therapy. Learn more here: Division of Clinical Genetics The research primarily focuses on understanding the biology of infant leukemia
-
of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
-
capture. Ability to work independently, as well as in a group. Valid Swedish driver´s license as we use car to drive to field localities Other merits Utbildning: University education in i biology (Master’s
-
broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography, Privacy and System
-
learn to see each other as learning resources and are trained in collaborative learning. The SI-leader´s task is to lead the students and structure the SI-sessions so that these run efficiently. The SI
-
. The position shall include the opportunity for three weeks of training in higher education teaching and learning, as well as opportunities for supporting Prof. Kamerlin in the co-supervision of degree projects
-
dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types