Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Denmark
- Netherlands
- Belgium
- Portugal
- Singapore
- Spain
- China
- United Arab Emirates
- Australia
- Hong Kong
- Switzerland
- Canada
- Luxembourg
- Poland
- Austria
- Italy
- Estonia
- Czech
- Finland
- Ireland
- Lithuania
- Cyprus
- Romania
- South Africa
- New Zealand
- Andorra
- India
- Latvia
- Saudi Arabia
- Armenia
- Brazil
- Greece
- Japan
- Morocco
- Bulgaria
- Croatia
- Europe
- Iceland
- Israel
- Malta
- Slovenia
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Chemistry
- Arts and Literature
- Electrical Engineering
- Humanities
- Linguistics
- Education
- Business
- Environment
- Social Sciences
- Earth Sciences
- Design
- Psychology
- Physics
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
-
, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning
-
depending on the candidate’s experience and qualification. Candidates should have a PhD in Chemistry, Chemical Engineering, Bioengineering, Immunology or a related field. We welcome applicants with recent
-
https://engineering.purdue.edu/PMRI). The population of officers at Purdue currently exceeds 100 students pursuing PhDs and MS degrees. We intent to grow this number to build a population of unique
-
and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
-
The Faculty of Engineering, Department Electronics and Informatics, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
-
the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
-
participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
-
have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
-
relevant industry experience, demonstrating scientific independence, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine