Microalgae biotechnology is a fast growing domain emerged in the last decades due to their huge potential as raw matter for a great diversity of products and services. Microalgae biomass consists of important primary metabolites such as sugars, oils and lipids, used for the production of food, pharmaceutical, nutraceutical, cosmetic, biofertilizers, animal feed. Moreover microalgae biotechnology has also a high potential as an environmental technology for GHG abatement or wastewater treatment.
The summer school “How to govern marine environment: Baltic Sea and sediment services as a case study“ will give an interdisciplinary overview on topics related to the functioning of marine environments and their possible response to human impacts and their governance.
This course introduces the principles of fisheries acoustics and the fundamental steps required to design, conduct and analyze data to estimate the abundance and distribution of marine fauna. A case study will use an example fish stock for the design of a survey and simulated results will be used to estimate the abundance at age of the fish stock using the R statistical programming language (computer code will be provided to demonstrate the steps required to estimate the abundance at age).
As part of the EO Science For Society – scientific exploitation programme element, the European Space Agency (ESA) is organising an advanced Remote Sensing Training Course devoted to train the next generation of Earth Observation (EO) scientists to exploit data from ESA and operational EO Missions (e.g. Copernicus Sentinels) for science and application development
This fellowship programme is open to early career scientists, technicians, postgraduate students (PhD/MSc) and post-doctoral fellows involved in oceanographic work at centres in developing countries and countries with economies in transition. Applicants must be citizens of developing countries or economies in transition, as defined by the Development Assistance Committee (DAC) of the OECD, for more information see the list of eligible countries attached below.
FLBEIA is a multi-stock and multi-fleet simulation model that describes a fishery system under a Management Strategy Evaluation (MSE) approach. The model is designed with the aim to facilitate the bio-economic evaluation of management strategies.
The ECORD Summer School on “Current-Controlled Sea Floor Archives: Coral Mounds and Contourites” 2017 will take place from 21 August to 1 September 2017 at the MARUM – Center for Marine Environmental Sciences, Bremen University, Germany.
The 14th summer school of the USSP consortium will focus on past climate dynamics with special emphasis on the analysis of the long-term carbon cycling and its implications in the understanding of present and future climates. USSP 2017 will integrate lectures, symposia, fieldtrips, and exercises on the many different areas of paleoclimatology including biogeochemical cycling, paleoceanography, continental systems, and all aspects of deep-time climate modeling.
OGS, the Italian National Institute of Oceanography and Applied Geophysics, in collaboration with other partner-institutions is organizing an advanced training school in Trieste for researchers, scientists and managers from the Mediterranean and Black sea Countries. OGS intends to support the creation of stable and attractive career pathways and highly skilled talents that will be needed to support expanding marine and maritime sectors. The focus of the training school is on strengthening professional skills and enhancing competencies in fields related to the blue economy.
The course will introduce programming logic using the R syntax. The participants will be able to solve problems involving heterogeneous biological datasets and the combined use of different statistical packages, so the advantages of learning programming skills can be demonstrated. The RMarkdown syntax will be used to illustrate the advantages of literate programming and the possibilities of code sharing and archiving. In the sequence, participants will learn how to design relational databases (RDB) which can be used to manage and analyse large biological datasets.