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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
-index and ORCID (see http://orcid.org/ ) Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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State Budget and FEDER to the following conditions: 1. About CCMAR: CCMAR (https://ccmar.ualg.pt/ ) is one of Portugal's leading marine science research centres, rated Excellent in evaluations promoted by
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science. Find all details here: https://siiri-sfb.de/en/karriere-hr/jobs/ Where to apply Website https://siiri-sfb.de/en/karriere-hr/jobs/ Requirements Research FieldBiological sciencesEducation LevelMaster
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lab’s website https://sites.duke.edu/corinnelinardiclab/ . Be You Work Performed · Perform literature reviews to guide research · Design and execution of standard in vitro assays ongoing in the lab
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to undergraduate learning through research experiential courses (ENTM 39300 Insect Biology Practicum and ENTM 49300 Insect Biology Capstone), and training and mentorship of graduate students, postdoctoral and
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transcripts, details of referees, letters of recommendation, etc.)” We look forward to receiving your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910848/type:job/where:39/apply:1
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recognized PhD certificate is mandatory for signature of the contract. More information can be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition . Additional Information Benefits A
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to arrival to settlement – and instead approaches mobility as multi-directional, recursive, and contingent. Further details are available on the website of the project at this link: https://migrationtime.eu
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original