Sort by
Refine Your Search
-
computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
-
computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
-
Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
-
biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
-
, optimization, control, probability/statistics, game theory, mechanism design, or machine learning (at least one) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving
-
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
-
computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
-
, the candidate should have solid programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
-
in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the