Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
analysis is highly prioritized, including also programming skills in R and/or Python. Personal Competencies Independence and Creativity: Ability to work independently and creatively to solve complex
-
. Strong skills in geospatial analysis. Strong skills in image analysis and machine learning. Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar
-
field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas
-
of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
-
or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required
-
with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
-
, e.g., in Python, PyTorch, TensorFlow, or similar. Curiosity to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information theory, statistics
-
scientific programming, e.g. using Python, is expected. As we work in international environment it is important that you have a good communication skills in both spoken and written English, and experience in
-
systems is an advantage. Basic to intermediate proficiency in Python, particularly for data analysis, modeling workflows, or automation, is desirable. Interest in electrochemistry, molecular modeling, and
-
assessment, S-LCA, or LCC Programming or scripting capabilities in Python, R, MATLAB, or similar Experience with data processing, model automation, or simulation tools Interest in contributing to teaching