175 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
-
energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
-
) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr
-
environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
-
send your full application (cover letter, transcripts, CV, references) with reference “Re-search Intern – Computer Vision” to our HR department (hr@inspire.ch). For technical questions, please contact Dr
-
, please visit our website . Questions regarding the position should be directed via email to Prof. Dr. Alexander Mathys alexander.mathys@hest.ethz.ch and Dr. Corina Sägesser corina.saegesser@hest.ethz.ch
-
, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into
-
100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
-
datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
-
years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems