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Are there any graduate assistantships available?
Most assistantships would be found on the LSU Handshake website (https://www.lsu.edu/careercenter/students/handshake.php) , though some opportunities are handled directly through the hiring department. It wouldn't hurt to check with a staff member in your graduate program to see if they are aware of assistantships not listed on Handshake. ________________________________________________________________________ More information on Handshake.... How to Access Handshake Admitted Students Undergraduate and Graduate students receive access to Handshake on June 15. At that time, you can log in to Handshake using your myLSU email and password at lsu.joinhandshake.com (https://lsu.joinhandshake.com/) or download the Handshake Jobs & Careers App (download in the Apple App Store (https://apps.apple.com/app/apple-store/id1220620171) or download through Google Play (https://play.google.com/store/apps/details?id=com.joinhandshake.student…) ). If a user experiences a barrier in access to Handshake or content within due to a disability, please contact the LSU Olinde Career Center at career@lsu.edu (mailto:career@lsu.edu) . For information on how to apply to on-campus and off-campus jobs, visit the Student Employment webpage (https://www.lsu.edu/careercenter/studentemployment/students.php) . If you would like to schedule a meeting with our team, or access other career center resources prior to receiving Handshake access, please contact us at career@lsu.edu (mailto:career@lsu.edu) and we are happy to assist you. Graduate Students: Please note, while some graduate assistantships may be posted in Handshake, most opportunities are managed directly through the hiring department. Please contact your graduate program and campus contacts directly to inquire about available assistantships. Alumni Alumni retain free access to Handshake and to most other career center resources, including appointments with the career center team. View the Alumni Resources page to request Handshake access (https://www.lsu.edu/careercenter/students/alumni.php) . Rsum Uploads Please make note that all rsums must be approved by the LSU Olinde Career Center before becoming active in Handshake for applying for jobs or participating in on-campus interviews. Please be prompt in submitting a rsum for activation in Handshake. The career center makes every effort to be timely in the document approval process, but cannot guarantee a turnaround of less than two (2) business days. Fraudulent and Scam Job Postings We work hard to keep fraudulent postings out of Handshake (https://www.lsu.edu/careercenter/students/handshake.php) by using some common red flags typically considered suspicious. While red flags dont automatically remove a job posting, we research the company and posting if suspicion arises before making a decision. You should research suspicious companies or postings, too (or dont apply). The Fraudulent and Scam Job Postings (https://www.lsu.edu/careercenter/about/FraudulentandScamJobPostingsbook…) guide outlines red flags so you, too, can attempt to identify such scam or fraudulent postings. Our position: Never apply for a suspicious job. Questions? Contact career@lsu.edu (mailto:career@lsu.edu) . Answered by: Gabriella Lindsay

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Using acoustic telemetry to inform standardisation of catch rates from passive fishing gear: A case study using dusky flathead (Platycephalus fuscus)
Estuaries are dynamic ecosystems and the species which inhabit them often support important commercial, recreational and indigenous fisheries. Catch rate standardisations are an essential component of many contemporary stock assessments, yet these standardisation processes often do not incorporate environmental variability and its influence on catchability. Here, we use acoustic tagging to quantify the relationship between environmental variation and small-scale, within-estuary, movement rates of dusky flathead (Platycephalus fuscus), a key fishery species in New South Wales (NSW), Australia. These relationships were then included as environmentally-mediated proxies for catchability in the standardisation of commercial mesh (gill) net catch rates. The case study showed that the probability of movement increased with freshwater inflow and varied across the lunar cycle. The effect of freshwater inflow was reflected in the commercial catch data of five estuaries, with greater catches of dusky flathead correlated with higher freshwater inflow, including one of the estuaries in which fish were acoustically tagged. Incorporating environmental effects (such as freshwater inflow) into catch standardisations of the five estuaries did not alter the overall trajectory of the time series but there were differences of up to 50.9 % (mean 12.3 %, SD 10.2 %) in the standardised index values in some years. Additionally, the study also found that large-scale weather drivers correlate with small biases in abundance indices when environmental conditions were excluded from standardisation processes. These results highlight the value of biological information and ecological experiments (including acoustic tracking studies) for validating assumptions in the broader stock assessment process such as how environmental variables may be influencing catchability or availability/density.
Ghost fishing catch estimates based on annual retrieval operations in Norwegian waters
Ghost fishing, the incidental capture of marine organisms by abandoned, lost and discarded fishing gear (ALDFG), poses a significant threat to marine ecosystems and biodiversity. Yet, comprehensive data on the ghost fishing catch in Norwegian waters, remains largely unavailable. To contribute to filling this data gap, we analyzed data from seven years (2018–2024) of retrieval operations targeting commercial derelict fishing gear. The ghost fishing catch consisted predominantly of Greenland halibut (Reinhardtius hippoglossoides), Northeast Arctic cod (Gadus morhua), edible crab (Cancer pagurus), red king crab (Paralithodes camtschaticus), and snow crab (Chionoecetes opilio). Additionally, cetaceans, elasmobranchs, and a pinniped were caught. In Norwegian waters, reported gillnet losses result in yearly ghost fishing catches of 566 tons under the best-case scenario, 990 tons under the intermediate scenario, and 3723 tons under the worst-case scenario. Generalized linear mixed effects models (GLMMs) indicated a significant reduction in ghost fishing catch at retrieval in derelict king crab pots following the introduction of escape mechanisms. This study highlights the substantial biomass and biodiversity loss in the Norwegian marine environment caused by ALDFG, impacting both commercially valuable and endangered species. It also documents the effectiveness of escape mechanisms in reducing ghost fishing catch in derelict pots.
Throw and Catch: Analyzing the Synchronized Movements of Eyes and Joints in Children
Throw and catch are fundamental motor skills that are closely related to eye-hand coordination, reaction speed, and spatial awareness in children. Current research on throw and catch mainly focuses on the impact of attentional focus, anticipatory knowledge, and training on visuomotor control. Little work has been done on the synchronized movements of eyes and joints during the throw and catch. To understand how these synchronized movements contribute to the success rate of throwing and catching, we proposed a video-based framework named Synchronized Eye and Joint Analysis (SEJA). This framework locates, extracts, and analyzes the essential eye and joint movements from untrimmed first-person and third-person view videos. Using the proposed framework, throw and catch events in long untrimmed videos were successfully identified, and whether each catch was successful was accurately assessed. Additionally, detailed metrics related to predictive gaze behaviors and predictive hand movements for each catch event were obtained. On a dataset consisting of videos from 56 children aged 7 to 10, the proposed framework delivered an average precision (AP) ranging from 0.5 to 0.95 at 0.881 for task localization and achieved an accuracy of 0.985 in predicting whether a catch was successful. Our research indicated that children with higher catch success rates showed shorter delays in predicting the ball’s trajectory, smaller amplitudes of body movement, and more pronounced predictive saccades (rapid eye movements to anticipate the ball’s position). These findings are crucial for comprehending and improving the development of motor skills in children.