Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
-
inclusion, and contributing to the Department strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught
-
operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
-
particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
-
multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
-
multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
-
have studied a MSc program in microbiology, biotechnology, plant biology, and food science. Additionally, we expect that you will be willing to have an external stay at Wageningen University & Research
-
development, particularly in LabVIEW and C++ programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed dermal atomic force
-
, ability to conduct independent research and participate in research collaborations, and their experience of research management. In addition, the applicant’s research plan and research potential will be
-
or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance