Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Germany
- Sweden
- Australia
- France
- Spain
- Denmark
- Austria
- Singapore
- Belgium
- Norway
- United Arab Emirates
- Switzerland
- Portugal
- Ireland
- China
- Czech
- Canada
- Morocco
- Luxembourg
- Poland
- Romania
- Finland
- India
- South Africa
- Hong Kong
- Italy
- Armenia
- Brazil
- Croatia
- Estonia
- Latvia
- Lithuania
- New Zealand
- Vietnam
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Education
- Social Sciences
- Arts and Literature
- Earth Sciences
- Humanities
- Environment
- Linguistics
- Psychology
- Electrical Engineering
- Materials Science
- Philosophy
- Physics
- Law
- Sports and Recreation
- 13 more »
- « less
-
to provide PhD students with an in depth understanding of the fundamental theories and learning methods, as well as advanced issues of neural networks and deep learning. Students will gain an in depth
-
cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding of molecular mechanisms of disease development. PhD
-
, combined with demonstrated expertise in deep learning and a passion for interdisciplinary research. Ocean Science: A PhD in ocean science, with strong skills in data processing, modeling, and/or data
-
the Job related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and
-
contact: Dr. Maria Heuss, Assistant Professor, m.c.heuss@uva.nl . Please quote “PhD Position” in the subject for requesting information Where to apply Website https://www.academictransfer.com/en/jobs
-
. The Dean will lead the highly successful SON that has over 3,000 students enrolled in baccalaureate, masters, NP, DNP, CRNA, and PhD programs, to its next phase of development. The successful candidate will
-
, neuroscience, or a related field (industry postdoc counts) Additional Preferences: Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., PyTorch, Tensorflow, JAX, HuggingFace). Hands
-
/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
-
, etc.). Robust AI (knowledge of methods for quantifying uncertainty in deep learning or formal verification methods applied to deep learning) Embedded AI Reinforcement learning, supervised and
-
-design. Experience with hardware acceleration (FPGAs, GPUs, SoCs) and low-power design. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. Ability to work in an