75 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Lunds universitet
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of your doctoral degree certificate, and any other documents you wish to submit (copies of diplomas, transcripts, references, letters of recommendation, etc.) Where to apply Website https
-
. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
-
within the Department of Electrical and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed
-
, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies
-
: https://www.ses.lu.se/forskning/samhallsnara-forskning/management-organisering-arbete/forskningsprojekt-hallbart-chefskap-invanarnas-basta The doctoral student will be part of the national Graduate School
-
disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile Injection Systems (CIS) — natural protein machines used by bacteria to deliver
-
Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file containing: CV, including a list of publications, Where to apply Website https://lu.varbi.com/en/what:job
-
, tightly collaborating research groups conducting research and education in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural
-
: The first project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a prestigious international grant aimed to give long term support for
-
software related to the medical field Experience of specific software and programming languages, specifically ones suitable for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and