Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
control engineering, optimization algorithms Control of drones and flight experiments as well as knowledge in AI / Machine Learning would be an asset Outstanding academic records Teamworking experience, e.g
-
/ Ability to develop new AI algorithms and statistical methods / Experience with large-scale biobank or cohort data. Strong background in Health Economics and Health Policy / Focus on Health Technology
-
activity in ulcerative colitis patients with transcriptional changes in a longitudinal patient cohort, develop deconvolution algorithms, extract features from H&E sections etc. Bacterial metabolism and host
-
platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
-
mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
expertise and experience to lead research projects to design, develop and enhance AI/ML algorithms and models using extensive healthcare data sets. The successful candidate will ensure models
-
twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
-
algorithmics project group. Ultimately, we aim to expand these techniques into time resolved studies to explore the dynamics of biological systems. We are equipped with a double aberration corrected 300kV Cryo
-
, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied