Sort by
Refine Your Search
-
information at: http://www.ifw-dresden.de The IFW Dresden announces the immediate opening for a Postdoc position (m/f/d) for research in non-equilibrium condensed matter physics in the Institute for Theoretical
-
teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
-
-reinforced polymer composite manufacturing processes Characterization of materials and components under the influence of variable process parameters (e.g., strain rates, temperatures, or power consumption
-
the Department of Physical Oceanography for a period of 24 months and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in accordance with the Tarifvertrag für den
-
as part of the application process to: the members of the selection committee, personnel administration, the equal opportunities officers, the inclusion officer and the works council within the scope
-
§ 11 Abs. 1 Sächsisches Datenschutzdurchführungsgesetz i. V. m. EU-Datenschutz-Grundverordnung (DS-GVO). The person responsible for the application process is the addressee of the application stated
-
departments Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research programme. What will be your tasks? You will
-
opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
-
family life . Given our commitment to diversity , we welcome all applications, regardless of gender and gender identity, origin, nationality, religion, belief, health and physical disabilities, age or
-
statistical topic modelling Experience with natural language processing Experience with statistical methods and machine learning Ability to extract and process large numbers of documents from the internet