116 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Portugal
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Universidade de Coimbra
- FEUP
- INESC ID
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Instituto Superior Técnico
- Instituto de Telecomunicações
- LNEC, I.P.
- FCiências.ID
- INESC TEC
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Politécnico de Leiria
- University of Porto
- Centro de Engenharia Biológica da Universidade do Minho
- ESS - Escola Superior de Saúde
- Faculdade de Ciências e Tecnologia
- Instituto Politécnico de Bragança
- Instituto Politécnico de Setúbal
- Instituto Politécnico de Viana do Castelo
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Universidade do Minho
- Universidade do Minho - ISISE
- University of Aveiro
- University of Minho
- University of Trás-os-Montes and Alto Douro
- Associação Fraunhofer Portugal Research
- Aveiro University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- Centro de Computação Grafica
- Faculty of Sciences of the University of Porto
- Fastprinciple,lda
- ISCTE - Instituto Universitário de Lisboa
- Instituto Pedro Nunes
- Instituto Politécnico de Coimbra
- Instituto Superior de Agronomia
- Instituto de Engenharia Mecânica
- NOVA Information Management School (NOVA IMS)
- National Laboratory of Energy and Geology
- Nature Careers
- Polytechnic University of Leiria
- Universidade Aberta
- Universidade do Porto – HR
- University of Beira Interior
- 33 more »
- « less
-
Field
-
; Knowledge of Machine Learning; Knowledge of mobile application development; Ability to interpret results and analyse data; Experience or motivation to join working groups and research networks. Workplan and
-
application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
-
Engineering, or related fields. They must have proven experience in the development and programming of Information Systems; prior experience in applications based on Data Analytics/Machine Learning and data
-
in mathematics and topics related to machine learning. EVALUATION CRITERIA The selection will be based on the following criteria: Academic CV (60%) Previous experience in related projects (20
-
on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
-
–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
-
. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
-throughput screening; - Cell painting assays and high-content image-based analysis (e.g., CellProfiler, Harmony); - Machine learning models for antimicrobial activity prediction (e.g., Weka); - Strong
-
' performance will be assessed according to the following weights and criteria: - Criterion 1 - Knowledge in the areas of Bioinformatics, Artificial Intelligence and Machine Learning - Criterion 2 – Motivation
-
platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission