Sort by
Refine Your Search
-
opportunity to grow your skills in data visualisation, SQL and Python. We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can
-
experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
-
-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
-
, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version
-
, Python or other coding languages. Willingness to work as part of a team and to be open-minded and cooperative. Desirable criteria Background knowledge of neuroscience, biological sciences, or a closely
-
, with proficiency in Python and deep learning frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large
-
conference presentations and journal papers; Excellent mathematical and programming skills in Python or C++, and practical experience with deep learning libraries (e.g., PyTorch) Desirable criteria Research
-
results) Proficient in using R, Python or similar programming language Experience of working with clinical or equivalent data. Experience in developing analytic pipelines. Desirable criteria Experience
-
with proficiency in Python, R, and tools relevant to multi-omics data analysis (e.g., CellRanger, GECKO, tINIT) Demonstrated ability to work independently, manage time effectively, and meet competing
-
, GANs, transformers) Programming experience in Python and deep learning frameworks (PyTorch) Knowledge of medical image processing and analysis techniques Ability to understand and implement mathematical